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52		<div><!--[--><!--[0--><!--[--><!--[0--><!--[--><div class="page svelte-37b3kl"><div class="header svelte-37b3kl"><section class="info"><a href="/"><img class="thumbnail  svelte-16uaffw" src="/images/headshots/mug-ken.jpg" alt="Headshot of Headshot of Kyle E. Niemeyer"/><!----></a> <h1>Kyle E. Niemeyer, Ph.D.</h1> <div class="metadata svelte-1elxaub"><span class="small svelte-1elxaub"><em><a href="https://www.mypronouns.org/he-him" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->he/him/his<!----></a><!----></em></span> <strong><a href="https://facultyaffairs.oregonstate.edu/faculty-handbook/faculty-appointments" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->Professor of Mechanical Engineering<!----></a><!----></strong> <strong><a href="https://engineering.oregonstate.edu/MIME" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->Associate Head for Academic Affairs<!----></a><!----></strong> <span><a href="https://engineering.oregonstate.edu/MIME" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->School of Mechanical, Industrial, and Manufacturing Engineering<!----></a><!----></span> <span><a href="https://oregonstate.edu" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->Oregon State University<!----></a><!----></span> <span class="small svelte-1elxaub">- <a href="https://joss.theoj.org" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->Associate Editor-in-Chief, <em>JOSS</em><!----></a><!----></span> <div class="emoji svelte-1d2svdd"><a href="mailto:[email protected]">
52<span class="emoji svelte-1lxxlia">📧︎</span><!----></a><span class="dot svelte-1d2svdd">⋅</span><a href="https://bsky.app/profile/kyleniemeyer.bsky.social" target="_blank" rel="noreferrer" class="svelte-railtd"><span class="emoji svelte-1lxxlia">🦋︎</span><!----></a><!----><span class="dot svelte-1d2svdd">⋅</span><a href="https://mastodon.social/@kyleniemeyer" target="_blank" rel="noreferrer" class="svelte-railtd"><span class="emoji svelte-1lxxlia">🐘︎</span><!----></a><!----><span class="dot svelte-1d2svdd">⋅</span><a href="http://github.com/kyleniemeyer" target="_blank" rel="noreferrer" class="svelte-railtd"><span class="emoji svelte-1lxxlia">💻︎</span><!----></a><!----></div><!----></div></section> <small style="line-height: 1.4"><p class="alert svelte-1frq9vu"><!---->We are recruiting a Ph.D. student to work on a funded position, open
53        until filled. Please see the description on the <!--[-1--><a href="/lab" class="svelte-1jt144g"><!---->Lab<!----></a><!--]--><!----> page.<!----></p><!----></small> <hr/> <nav class="svelte-1elxaub"><div class="links svelte-1elxaub"><!--[-1--><a href="/" class="svelte-1jt144g"><!---->Research<!----></a><!--]--><!----> <!--[-1--><a href="/lab" class="svelte-1jt144g"><!---->Lab<!----></a><!--]--><!----> <!--[0--><span class="at svelte-1jt144g"><!---->Publications<!----></span><!--]--><!----> <!--[-1--><a href="/software" class="svelte-1jt144g"><!---->Software<!----></a><!--]--><!----> <!--[-1--><a href="/talks" class="svelte-1jt144g"><!---->Talks<!----></a><!--]--><!----> <!--[-1--><a href="/classes" class="svelte-1jt144g"><!---->Classes<!----></a><!--]--><!----> <!--[-1--><a href="/funding" class="svelte-1jt144g"><!---->Funding<!----></a><!--]--><!----> <!--[-1--><a href="/commitments" class="svelte-1jt144g"><!---->Commitments<!----></a><!--]--><!----> <!--[-1--><a href="/contact" class="svelte-1jt144g"><!---->Contact<!----></a><!--]--><!----> <!--[-1--><a href="/code-of-conduct" class="svelte-1jt144g"><!---->Group CoC<!----></a><!--]--><!----></div></nav> <hr class="small-hr svelte-1elxaub"/><!----></div> <div class="content svelte-37b3kl"><!--[--><!----> <h1>These are our 68 academic publications.
54	You can see who's citing them on <a href="https://scholar.google.com/citations?user=dt0KRYoAAAAJ=en" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->Google Scholar<!----></a><!----> or <a href="https://www.semanticscholar.org/author/K.-Niemeyer/2373019" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->Semantic Scholar<!----></a><!---->.</h1> <hr/> <p>Filter by publication topic.</p> <!--[--><div role="radiogroup" aria-label="Filter"><!--[--><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by Cantera" class="annotation clickable topic svelte-6ypds">Cantera</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by ChemKED" class="annotation clickable topic svelte-6ypds">ChemKED</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by GPUs" class="annotation clickable topic svelte-6ypds">GPUs</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by Monte Carlo" class="annotation clickable topic svelte-6ypds">Monte Carlo</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by ODEs" class="annotation clickable topic svelte-6ypds">ODEs</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by atmospheric chemistry" class="annotation clickable topic svelte-6ypds">atmospheric chemistry</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by biogeochemistry" class="annotation clickable topic svelte-6ypds">biogeochemistry</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by chemical kinetics" class="annotation clickable topic svelte-6ypds">chemical kinetics</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by computational fluid dynamics" class="annotation clickable topic svelte-6ypds">computational fluid dynamics</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by diffusion" class="annotation clickable topic svelte-6ypds">diffusion</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by direct numerical simulation" class="annotation clickable topic svelte-6ypds">direct numerical simulation</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by domain decomposition" class="annotation clickable topic svelte-6ypds">domain decomposition</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by exascale" class="annotation clickable topic svelte-6ypds">exascale</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by experimental measurements" class="annotation clickable topic svelte-6ypds">experimental measurements</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by feedstock to function" class="annotation clickable topic svelte-6ypds">feedstock to function</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by finite element analysis" class="annotation clickable topic svelte-6ypds">finite element analysis</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by integrators" class="annotation clickable topic svelte-6ypds">integrators</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by linear algebra" class="annotation clickable topic svelte-6ypds">linear algebra</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by live fuels" class="annotation clickable topic svelte-6ypds">live fuels</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by machine learning" class="annotation clickable topic svelte-6ypds">machine learning</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by manufacturing" class="annotation clickable topic svelte-6ypds">manufacturing</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by model reduction" class="annotation clickable topic svelte-6ypds">model reduction</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by neutron transport" class="annotation clickable topic svelte-6ypds">neutron transport</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by nuclear reactors" class="annotation clickable topic svelte-6ypds">nuclear reactors</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by numerical methods" class="annotation clickable topic svelte-6ypds">numerical methods</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by ocean" class="annotation clickable topic svelte-6ypds">ocean</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by parameter databases" class="annotation clickable topic svelte-6ypds">parameter databases</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by reduction algorithms" class="annotation clickable topic svelte-6ypds">reduction algorithms</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by smoldering" class="annotation clickable topic svelte-6ypds">smoldering</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by sustainable aviation fuels" class="annotation clickable topic svelte-6ypds">sustainable aviation fuels</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by swept rule" class="annotation clickable topic svelte-6ypds">swept rule</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by turbulence" class="annotation clickable topic svelte-6ypds">turbulence</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by turbulent flames" class="annotation clickable topic svelte-6ypds">turbulent flames</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by vacuum arc remelting" class="annotation clickable topic svelte-6ypds">vacuum arc remelting</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by vectorization" class="annotation clickable topic svelte-6ypds">vectorization</span><span role="radio" tabindex="0" aria-checked="false" aria-label="Filter by wildfire" class="annotation clickable topic svelte-6ypds">wildfire</span><!--]--></div><div role="radiogroup" aria-label="Filter"><!--[--><!--]--></div><!--]--><!----> <!--[--><!--[0--><h3>2026<!--[0--><small>— <em>Promoted to Professor of Mechanical Engineering (effective September); administrative position expanded to AHAA</em></small><!--]--></h3><!--]--> <div id="bgc-physical-parameter-optimization"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5194/gmd-19-5601-2026" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-bgc-physical-parameter-optimization.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="bgc-physical-parameter-optimization" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Skyler Kern<!--]-->, <!--[0-->Mary E. McGuinn<!--]-->, <!--[0-->Katherine M. Smith<!--]-->, <!--[0-->Nadia Pinardi<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Nicole S. Lovenduski<!--]-->, <!--[1--><!--[-1--><a href="/lab/#peter-hamlington" class="svelte-1jt144g"><!---->Peter Hamlington<!----></a><!--]--><!--]--><!--]--><!----> (2026)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5194/gmd-19-5601-2026">Simultaneous versus sequential estimation of biogeochemical and physical parameters in coupled marine ecosystem models</a></span><!--]--> <br/><small><em>Geoscientific Model Development</em></small> <!--[0--><span><br/><small>Shows a method for simultaneously optimizing biogeochemical and physical transport parameters in marine ecosystem models based on ocean observations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5194/gmd-19-5601-2026" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#bgc-physical-parameter-optimization" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="hybrid-delta-tracking"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1080/23324309.2026.2618791" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-hybrid-delta-tracking.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="hybrid-delta-tracking" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Ilham Variansyah<!--]-->, <!--[0-->Kayla B. Clements<!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2026)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1080/23324309.2026.2618791">
54Hybrid delta tracking schemes using a track-length estimator</a></span><!--]--> <br/><small><em>Journal of Computational and Theoretical Transport</em></small> <!--[0--><span><br/><small>Introduces an energy-based hybrid method for tracking neutrons as they move through systems, which improves computational performance for time-dependent problems.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1080/23324309.2026.2618791" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2510.00152" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#hybrid-delta-tracking" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="one-cell-inversion-complete"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1080/00295639.2025.2510004" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-one-cell-inversion-complete.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="one-cell-inversion-complete" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Ilham Variansyah<!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2026)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1080/00295639.2025.2510004">One-cell inversion for solving higher-order time-dependent radiation transport on GPUs</a></span><!--]--> <br/><small><em>Nuclear Science &amp; Engineering</em></small> <!--[0--><span><br/><small>Demonstrates a second-order deterministic method for solving radiation transport that efficiently parallelizes on GPUs.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1080/00295639.2025.2510004" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2503.00264" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#one-cell-inversion-complete" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="f2ft-fuel-blends"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.fuel.2025.137588" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-f2ft-fuel-blends.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="f2ft-fuel-blends" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Ana E. Comesana<!--]-->, <!--[0-->Sharon Chen<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#vi-rapp" class="svelte-1jt144g"><!---->Vi Rapp<!----></a><!--]--><!--]--><!--]--><!----> (2026)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.fuel.2025.137588">A structured framework for predicting sustainable aviation fuel properties using liquid-phase FTIR and machine learning</a></span><!--]--> <br/><small><em>Fuel</em></small> <!--[0--><span><br/><small>Presents a strategy for building models using machine learning to predict properties of liquid fuel blends, based on measurements of FTIR spectra.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.fuel.2025.137588" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2408.01530" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#f2ft-fuel-blends" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="ablation-uq"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.compfluid.2026.107264" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-ablation-uq.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="ablation-uq" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#diba" class="svelte-1jt144g"><!---->Diba Behnoudfar<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2026)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.compfluid.2026.107264">Uncertainty quantification of reacting fluids interacting with porous media using a hybrid physics-based and data-driven approach</a></span><!--]--> <br/><small><em>Computers &amp; Fluids</em></small> <!--[0--><span><br/><small>Combines physics-based simulation with data-driven reduced-order modeling to quantify how uncertainty in the properties of porous materials, like ablative heat shields, affects predictions of reacting flows.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.compfluid.2026.107264" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2510.03649" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#ablation-uq" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2025<!--[-1--><!--]--></h3><!--]--> <div id="mcdc-parallelism"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1109/MCSE.2025.3550863" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-mcdc-parallelism.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="mcdc-parallelism" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Ilham Variansyah<!--]-->, <!--[0-->Braxton Cuneo<!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2025)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1109/MCSE.2025.3550863">Performant and Portable Monte Carlo Neutron Transport via Numba</a></span><!--]--> <br/><small><em>Computing in Science &amp; Engineering</em></small> <!--[0--><span><br/><small>Discusses how we used Python and Numba to rapidly develop a high-performance, open-source software tool for accurately modeling neutron transport through space and time.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1109/MCSE.2025.3550863" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2409.04668" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#mcdc-parallelism" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="single-domain-buoyant-plumes"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1063/5.0248978" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-single-domain-buoyant-plumes.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="single-domain-buoyant-plumes" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#diba" class="svelte-1jt144g"><!---->Diba Behnoudfar<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2025)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1063/5.0248978">A single-domain approach for modeling flow in and around porous media applied to buoyant reacting plume formation and ignition</a></span><!--]--> <br/><small><em>Physics of Fluids</em></small> <!--[0--><span><br/><small>Demonstrates a single-domain method for simulating reacting fluid flows through and across interfaces between porous media and fluid regions.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1063/5.0248978" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g">
54<span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2401.08874" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#single-domain-buoyant-plumes" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2024<!--[-1--><!--]--></h3><!--]--> <div id="bgc-parameter-estimation"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5194/gmd-17-621-2024" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-bgc-parameter-estimation.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="bgc-parameter-estimation" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Skyler Kern<!--]-->, <!--[0-->Mary E. McGuinn<!--]-->, <!--[0-->Katherine M. Smith<!--]-->, <!--[0-->Nadia Pinardi<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Nicole S. Lovenduski<!--]-->, <!--[1--><!--[-1--><a href="/lab/#peter-hamlington" class="svelte-1jt144g"><!---->Peter Hamlington<!----></a><!--]--><!--]--><!--]--><!----> (2024)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5194/gmd-17-621-2024">Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models</a></span><!--]--> <br/><small><em>Geoscientific Model Development</em></small> <!--[0--><span><br/><small>Shows a method for optimizing parameters for biogeochemical models based on ocean observations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5194/gmd-17-621-2024" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#bgc-parameter-estimation" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="mcdc-joss"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.21105/joss.06415" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-mcdc-joss.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="mcdc-joss" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Ilham Variansyah<!--]-->, <!--[0-->Samuel Pasmann<!--]-->, <!--[0-->Kayla B. Clements<!--]-->, <!--[0-->Braxton Cuneo<!--]-->, <!--[0-->Alexander Mote<!--]-->, <!--[0-->Charles Goodman<!--]-->, <!--[0-->Caleb Shaw<!--]-->, <!--[0-->Jordan Northrop<!--]-->, <!--[0-->Rohan Pankaj<!--]-->, <!--[0-->Ethan Lame<!--]-->, <!--[0-->Benjamin Whewell<!--]-->, <!--[0-->Ryan McClarren<!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[0-->Lizhong Chen<!--]-->, <!--[0-->Dmitriy Anistratov<!--]-->, <!--[0-->C. T. Kelley<!--]-->, <!--[0-->Camille Palmer<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a>
54<!--]--><!--]--><!--]--><!----> (2024)</small> <br/> <!--[0--><span><a href="https://doi.org/10.21105/joss.06415">Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development</a></span><!--]--> <br/><small><em>Journal of Open Source Software</em></small> <!--[0--><span><br/><small>Introduces MC/DC, a Python-based software package for modeling transient (i.e., time-dependent) neutron transport that performs well on exascale-class high-performance computing systems.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.21105/joss.06415" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#mcdc-joss" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="monte-carlo-summit"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1080/23324309.2024.2354401" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-monte-carlo-summit.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="monte-carlo-summit" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Alexander Mote<!--]-->, <!--[0-->Samuel L. Pasmann<!--]-->, <!--[0-->Gavin Ridley<!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Ryan McClarren<!--]--><!--]--><!----> (2024)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1080/23324309.2024.2354401">The Monte Carlo Computational Summit - October 25 &amp; 26, 2023 - Notre Dame, Indiana, USA</a></span><!--]--> <br/><small><em>Journal of Computational and Theoretical Transport</em></small> <!--[0--><span><br/><small>Summarizes discussions held at the 2023 Monte Carlo Computational Summit.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1080/23324309.2024.2354401" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2402.08161" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#monte-carlo-summit" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="live-fuel-ignition"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2024.113487" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-live-fuel-ignition.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="live-fuel-ignition" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#diba" class="svelte-1jt144g"><!---->Diba Behnoudfar<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2024)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2024.113487">A physics-based ignition model with detailed chemical kinetics for live fuel burning studies</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Introduces a physics-based model for simulating ignition of live fuels (like trees and shrubs), that considers detailed models for fuel chemistry.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2024.113487" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.31224/3680" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#live-fuel-ignition" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="lignin-smouldering"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2024.113451" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-lignin-smouldering.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="lignin-smouldering" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Benjamin D. Smucker<!--]-->, <!--[1--><!--[-1--><a href="/lab/#jayani" class="svelte-1jt144g"><!---->W. Jayani Jayasuriya<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#david-blunck" class="svelte-1jt144g"><!---->David Blunck<!----></a><!--]--><!--]--><!--]--><!----> (2024)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2024.113451">Influence of lignin on smoldering propagation</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Uses experiments and simulations to show how greater amounts of lignin in woody fuels slows down smouldering combustion.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2024.113451" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#lignin-smouldering" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2023<!--[0--><small>— <em>Sabbatical (Winter/Spring); ended AAAS Fellowship in December; returned to Corvallis and began AHUG position</em></small><!--]--></h3><!--]--> <div id="onsite-energy"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5281/zenodo.8140628" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-onsite-energy.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="onsite-energy" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Meegan Kelly<!--]--><!--]--><!----> (2023)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5281/zenodo.8140628">Right Onsite: Accelerating deployment of onsite clean energy technology in the industrial sector</a></span><!--]--> <br/><small><em>2023 ACEEE Summer Study on Energy Efficiency in Industry</em></small> <!--[0--><span><br/><small>Discusses the current state of onsite clean energy systems in the US industrial sector, needs and barriers, and strategies the US Department of Energy is taking to accelerate adoption.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5281/zenodo.8140628" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#onsite-energy" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="aas-integration-methods"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.3847/2515-5172/ad175d" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-aas-integration-methods.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="aas-integration-methods" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Parker Johnson<!--]-->, <!--[0-->Michael Zingale<!--]-->, <!--[0-->Eric T. Johnson<!--]-->, <!--[0-->Alexander Smith<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2023)</small> <br/> <!--[0--><span><a href="https://doi.org/10.3847/2515-5172/ad175d">A Fully Explicit Integrator for Modeling Astrophysical Reactive Flows</a></span><!--]--> <br/><small><em>Research Notes of the AAS</em></small> <!--[0--><span><br/><small>Shows the Runge-Kutta-Chebyshev method efficiently integrates reactions in astrophysical reactive flows, such as simulations of X-ray bursts.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.3847/2515-5172/ad175d" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#aas-integration-methods" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="generalized-preconditioning"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.proci.2022.07.256" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-generalized-preconditioning.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="generalized-preconditioning" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#anthony-walker" class="svelte-1jt144g"><!---->Anthony S. Walker<!----></a>
54<!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ray-speth" class="svelte-1jt144g"><!---->Raymond L. Speth<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2023)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.proci.2022.07.256">Generalized preconditioning for accelerating simulations with large kinetic models</a></span><!--]--> <br/><small><em>Proceedings of the Combustion Institute</em></small> <!--[0--><span><br/><small>Extends a method to speed up chemistry simulations in Cantera, by preconditioning and sparse linear algebra operations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.proci.2022.07.256" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#generalized-preconditioning" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="mcdc-development"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[-1--><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-mcdc-development.png" alt="A clip from the paper's PDF."/><!----><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="mcdc-development" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Ilham Variansyah<!--]-->, <!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Jordan Northrop<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Ryan G. McClarren<!--]--><!--]--><!----> (2023)</small> <br/> <!--[-1--><strong>Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code</strong><!--]--> <br/><small><em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering</em></small> <!--[0--><span><br/><small>Verifies and demonstrates MC/DC (Monte Carlo Dynamic Code) code for simulating transient neutron transport.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2305.07636" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#mcdc-development" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="hybrid-delta-tracking-mcatk"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[-1--><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-hybrid-delta-tracking-mcatk.png" alt="A clip from the paper's PDF."/><!----><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="hybrid-delta-tracking-mcatk" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Travis J. Trahan<!--]-->, <!--[0-->Timothy P. Burke<!--]-->, <!--[0-->Colin J. Josey<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a>
54<!--]--><!--]--><!--]--><!----> (2023)</small> <br/> <!--[-1--><strong>Hybrid-Delta Tracking on a Structured Mesh in MCATK</strong><!--]--> <br/><small><em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering</em></small> <!--[0--><span><br/><small>Demonstrates performance of hybrid delta tracking for surfaces in the Monte Carlo Application Toolkit.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2306.07847" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#hybrid-delta-tracking-mcatk" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="one-cell-inversion"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[-1--><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-one-cell-inversion.png" alt="A clip from the paper's PDF."/><!----><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="one-cell-inversion" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Ilham Variansyah<!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2023)</small> <br/> <!--[-1--><strong>Exploring One-Cell Inversion Method for Transient Transport on GPU</strong><!--]--> <br/><small><em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering</em></small> <!--[0--><span><br/><small>Introduces a new iterative scheme for deterministic neutron transport modeling, one-cell inversion, that offers high performance on GPUs.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2305.13555" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#one-cell-inversion" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2022<!--[0--><small>— <em>Sabbatical (Fall); began AAAS STP Fellowship in DC @ DOE</em></small><!--]--></h3><!--]--> <div id="smoldering-mixtures"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1080/13647830.2022.2071170" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-smoldering-mixtures.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="smoldering-mixtures" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jayani" class="svelte-1jt144g"><!---->W. Jayani Jayasuriya<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#tejas-mulky" class="svelte-1jt144g"><!---->Tejas C. Mulky<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a>
54<!--]--><!--]--><!--]--><!----> (2022)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1080/13647830.2022.2071170">Smouldering combustion in cellulose and hemicellulose mixtures: Examining the roles of density, fuel composition, oxygen concentration, and moisture content</a></span><!--]--> <br/><small><em>Combustion Theory and Modelling</em></small> <!--[0--><span><br/><small>Examines the roles of some key physical parameters on smoldering combustion in cellulose and hemicelluose mixtures, relevant to fuels in wildland fires; shows how fuel composition changes critical moisture content of ignition and extincion.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1080/13647830.2022.2071170" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2206.03836" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#smoldering-mixtures" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="diffusion-enstrophy-flame"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1080/13647830.2022.2049882" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-diffusion-enstrophy-flame.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="diffusion-enstrophy-flame" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ajfillo" class="svelte-1jt144g"><!---->Aaron J. Fillo<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#peter-hamlington" class="svelte-1jt144g"><!---->Peter Hamlington<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2022)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1080/13647830.2022.2049882">Assessing diffusion model impacts on enstrophy and flame structure in turbulent lean premixed flames</a></span><!--]--> <br/><small><em>Combustion Theory and Modelling</em></small> <!--[0--><span><br/><small>Shows that choice of diffusion model noticably impacts both turbulence dynamics (shown with the enstrophy, or vorticity magnitude) and flame structure.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1080/13647830.2022.2049882" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2108.08302" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#diffusion-enstrophy-flame" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="feature-selection"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.fuel.2022.123836" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-feature-selection.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="feature-selection" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Ana E. Comesana<!--]-->, <!--[0-->Tyler T. Huntington<!--]-->, <!--[0-->Corinne D. Scown<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#vi-rapp" class="svelte-1jt144g"><!---->Vi Rapp<!----></a><!--]--><!--]--><!--]--><!----> (2022)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.fuel.2022.123836">A systematic method for selecting molecular descriptors as features when training models for predicting physiochemical properties</a></span><!--]--> <br/><small><em>Fuel</em></small> <!--[0--><span><br/><small>Presents a new approach for identifying which pieces of information about molecules should be used when training machine-learning models to predict properties, and demonstrates models for predicting properties relevant to biofuels.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.fuel.2022.123836" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#feature-selection" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="vectorized-chemistry"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.cpc.2022.108409" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-vectorized-chemistry.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="vectorized-chemistry" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#nick-curtis" class="svelte-1jt144g"><!---->Nicholas Curtis<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2022)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.cpc.2022.108409">Accelerating reactive-flow simulations using vectorized chemistry integration</a></span><!--]--> <br/><small><em>Computer Physics Communications</em></small> <!--[0--><span><br/><small>Presents an approach to reducing the cost of simulating reacting fluid flows using vectorization of the chemistry integration.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.cpc.2022.108409" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2205.05681" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#vectorized-chemistry" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="mcdc-tnt"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[-1--><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-mcdc-tnt.png" alt="A clip from the paper's PDF."/><!----><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="mcdc-tnt" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a>
54<!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#todd-palmer" class="svelte-1jt144g"><!---->Todd S. Palmer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2022)</small> <br/> <!--[-1--><strong>Explorations of Python-Based Automatic Hardware Code Generation for Neutron Transport Applications</strong><!--]--> <br/><small><em>Transactions of the American Nuclear Society</em></small> <!--[0--><span><br/><small>Examines techniques for using Python libraries to easily parallelize a Monte Carlo neutron transport solver on large-scale high performance computing systems.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://www.ans.org/pubs/transactions/article-51438/" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#mcdc-tnt" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="mc-trt"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[-1--><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-mc-trt.png" alt="A clip from the paper's PDF."/><!----><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="mc-trt" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#jpmorgan" class="svelte-1jt144g"><!---->Joanna P. Morgan<!----></a><!--]--><!--]-->, <!--[0-->Alex Long<!--]-->, <!--[0-->Kendra Long<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2022)</small> <br/> <!--[-1--><strong>Novel MC TRT Method: Vectorizable Variance Reduction for Energy Spectra</strong><!--]--> <br/><small><em>Transactions of the American Nuclear Society</em></small> <!--[0--><span><br/><small>Presents a method for reducing the statistical variance in thermal radiation transport solver to better-resolve energy spectra at lower computational cost.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://www.ans.org/pubs/transactions/article-51428/" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#mc-trt" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2021<!--[0--><small>— <em>COVID-19; began as ME Undergraduate Program Coordinator</em></small><!--]--></h3><!--]--> <div id="bfm17"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5194/gmd-14-2419-2021" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-bfm17.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="bfm17" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Katherine M. Smith<!--]-->, <!--[0-->Skyler Kern<!--]-->, <!--[1--><!--[-1--><a href="/lab/#peter-hamlington" class="svelte-1jt144g"><!---->Peter Hamlington<!----></a><!--]--><!--]-->, <!--[0-->Marco Zavatarelli<!--]-->, <!--[0-->Nadia Pinardi<!--]-->, <!--[1--><!--[-1--><a href="/lab/#emily-klee" class="svelte-1jt144g"><!---->Emily Klee<!----></a>
54<!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2021)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5194/gmd-14-2419-2021">BFM17 v1.0: Reduced-Order Biogeochemical Flux Model for Upper Ocean Biophysical Simulations</a></span><!--]--> <br/><small><em>Geoscientific Model Development</em></small> <!--[0--><span><br/><small>Presents a novel reduced model for biogeochemistry that can be used in expensive, highly accurate simulations of the upper ocean.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5194/gmd-14-2419-2021" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#bfm17" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="swept-two-dimensional"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.3390/mca26030052" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-swept-two-dimensional.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="swept-two-dimensional" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#anthony-walker" class="svelte-1jt144g"><!---->Anthony S. Walker<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2021)</small> <br/> <!--[0--><span><a href="https://doi.org/10.3390/mca26030052">Applying the swept rule for solving two-dimensional partial differential equations on heterogeneous architectures</a></span><!--]--> <br/><small><em>Mathematical and Computational Applications</em></small> <!--[0--><span><br/><small>Extends the swept rule for domain decomposition to working on heterogeneous combinations of CPUs and GPUs, for solving two-dimensional partial differential equations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.3390/mca26030052" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#swept-two-dimensional" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="multicomponent-diffusion-flame"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2020.09.013" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-multicomponent-diffusion-flame.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="multicomponent-diffusion-flame" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ajfillo" class="svelte-1jt144g"><!---->Aaron J. Fillo<!----></a><!--]--><!--]-->, <!--[0-->Jason Schlup<!--]-->, <!--[0-->@guillaume<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a>
54<!--]--><!--]--><!--]--><!----> (2021)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2020.09.013">Assessing the impact of multicomponent diffusion in direct numerical simulations of premixed, high-Karlovitz, turbulent flames</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Shows that the choice of diffusion model matters in simulations of turbulent flames, comparing the commonly used mixture-averaged model to the accurate but more expensive multicomponent model.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2020.09.013" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/2009.09840" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#multicomponent-diffusion-flame" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="swept-heterogeneous"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1007/s11227-020-03340-9" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-swept-heterogeneous.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="swept-heterogeneous" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#dan-magee" class="svelte-1jt144g"><!---->Dan Magee<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#anthony-walker" class="svelte-1jt144g"><!---->Anthony S. Walker<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2021)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1007/s11227-020-03340-9">Applying the swept rule for solving explicit partial differential equations on heterogeneous computing systems</a></span><!--]--> <br/><small><em>Journal of Supercomputing</em></small> <!--[0--><span><br/><small>Extends the swept rule for domain decomposition to working on heterogeneous combinations of CPUs and GPUs, and shows that the method can lead to performance benefits or downsides depending on the configuration.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1007/s11227-020-03340-9" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1811.08282" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#swept-heterogeneous" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2020<!--[0--><small>— <em>Promoted to Associate Professor and received tenure; COVID-19</em></small><!--]--></h3><!--]--> <div id="multicomponent-diffusion-method"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.jcp.2019.109185" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-multicomponent-diffusion-method.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="multicomponent-diffusion-method" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ajfillo" class="svelte-1jt144g"><!---->Aaron J. Fillo<!----></a><!--]--><!--]-->, <!--[0-->Jason Schlup<!--]-->, <!--[0-->Guillaume Beardsell<!--]-->, <!--[0-->@guillaume<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2020)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.jcp.2019.109185">A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations</a></span><!--]--> <br/><small><em>Journal of Computational Physics</em></small> <!--[0--><span><br/><small>Introduces a method for efficiently implementing accurate multicomponent diffusion models in high-fidelity computational fluid dynamics simulations of reacting turbulent flows.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.jcp.2019.109185" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1808.05463" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#multicomponent-diffusion-method" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2019<!--[-1--><!--]--></h3><!--]--> <div id="caaba-mecca"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5194/gmd-12-1365-2019" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-caaba-mecca.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="caaba-mecca" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Rolf Sander<!--]-->, <!--[0-->Andreas Baumgaertner<!--]-->, <!--[0-->David Cabrera-Perez<!--]-->, <!--[0-->Franziska Frank<!--]-->, <!--[0-->Sergey Gromov<!--]-->, <!--[0-->Jens-Uwe Grooß<!--]-->, <!--[0-->Hartwig Harder<!--]-->, <!--[0-->Vincent Huijnen<!--]-->, <!--[0-->Patrick Jöckel<!--]-->, <!--[0-->Vlassis A. Karydis<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Andrea Pozzer<!--]-->, <!--[0-->Hella Riede<!--]-->, <!--[0-->Martin G. Schultz<!--]-->, <!--[0-->Domenico Taraborrelli<!--]-->, <!--[0-->Sebastian Tauer<!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5194/gmd-12-1365-2019">The community atmospheric chemistry box model CAABA/MECCA-4.0</a></span><!--]--> <br/><small><em>Geoscientific Model Development</em></small> <!--[0--><span><br/><small>Presents an updated version of a model for atmospheric chemistry, including the capability of reducing the model using a method adapted from the combustion literature.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5194/gmd-12-1365-2019" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#caaba-mecca" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="douglas-fir-reduced-model"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.3389/fmech.2019.00040" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-douglas-fir-reduced-model.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="douglas-fir-reduced-model" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Jeffrey F. Glusman<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Amanda S. Makowiecki<!--]-->, <!--[0-->Nicholas T. Wimer<!--]-->, <!--[0-->Caelan Lapointe<!--]-->, <!--[0-->Gregory B. Rieker<!--]-->, <!--[1--><!--[-1--><a href="/lab/#peter-hamlington" class="svelte-1jt144g"><!---->Peter Hamlington<!----></a><!--]--><!--]-->, <!--[0-->John W. Daily<!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.3389/fmech.2019.00040">Reduced Gas-Phase Kinetic Models for Burning of Douglas Fir</a></span><!--]--> <br/><small><em>Frontiers in Mechanical Engineering</em></small> <!--[0--><span><br/><small>Presents and validates a reduced model for simulating burning of Douglas Fir trees.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.3389/fmech.2019.00040" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#douglas-fir-reduced-model" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="pymars"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.21105/joss.01543" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-pymars.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="pymars" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#phillip-mestas" class="svelte-1jt144g"><!---->Phillip Mestas<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#parker-clayton" class="svelte-1jt144g"><!---->Parker Clayton<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.21105/joss.01543">pyMARS: automatically reducing chemical kinetic models in Python</a></span><!--]--> <br/><small><em>Journal of Open Source Software</em></small> <!--[0--><span><br/><small>Presents a new Python-based open-source software package for automatically reducing chemical kinetic models, pyMARS.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.21105/joss.01543" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#pymars" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="langmuir-carbonate"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1029/2018MS001486" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-langmuir-carbonate.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="langmuir-carbonate" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Katherine M. Smith<!--]-->, <!--[1--><!--[-1--><a href="/lab/#peter-hamlington" class="svelte-1jt144g"><!---->Peter Hamlington<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Baylor Fox-Kemper<!--]-->, <!--[0-->Nicole S. Lovenduski<!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1029/2018MS001486">Effects of Langmuir turbulence on upper ocean carbonate chemistry</a></span><!--]--> <br/><small><em>Journal of Advances in Modeling Earth Systems</em></small> <!--[0--><span><br/><small>Shows that carbonate chemistry and turbulent mixing in the upper ocean interact, and time-dependent chemistry needs to be considered for accurate simulations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1029/2018MS001486" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1809.02509" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#langmuir-carbonate" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="smoldering-exp-comp"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.proci.2018.07.047" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-smoldering-exp-comp.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="smoldering-exp-comp" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Benjamin D. Smucker<!--]-->, <!--[1--><!--[-1--><a href="/lab/#tejas-mulky" class="svelte-1jt144g"><!---->Tejas C. Mulky<!----></a><!--]--><!--]-->, <!--[0-->Daniel A. Cowan<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#david-blunck" class="svelte-1jt144g"><!---->David Blunck<!----></a><!--]--><!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.proci.2018.07.047">Effects of fuel content and density on the smoldering characteristics of cellulose and hemicellulose</a></span><!--]--> <br/><small><em>Proceedings of the Combustion Institute</em></small> <!--[0--><span><br/><small>A companion paper to our computational study, experimentally studies smoldering in mixtures of cellulose and hemicellulose, using both horizontal spread and downward spread, to identify controlling parameters.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.proci.2018.07.047" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g">
54<span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://ir.library.oregonstate.edu/concern/articles/5x21tm58n" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#smoldering-exp-comp" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="smoldering-mixtures-poci"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.proci.2018.06.164" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-smoldering-mixtures-poci.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="smoldering-mixtures-poci" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#tejas-mulky" class="svelte-1jt144g"><!---->Tejas C. Mulky<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.proci.2018.06.164">Computational study of the effects of density, fuel content, and moisture content on smoldering propagation of cellulose and hemicellulose mixtures</a></span><!--]--> <br/><small><em>Proceedings of the Combustion Institute</em></small> <!--[0--><span><br/><small>Uses computational modeling to study how changes in important physical properties, including fuel composition, affect smoldering in mixtures of cellulose and hemicellulose.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.proci.2018.06.164" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1806.08396" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#smoldering-mixtures-poci" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="FTIR-LTC"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.fuel.2019.01.054" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-FTIR-LTC.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="FTIR-LTC" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#shane-daly" class="svelte-1jt144g"><!---->Shane Daly<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#khang-tran" class="svelte-1jt144g"><!---->Khang Tran<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->William J. Cannella<!--]-->, <!--[1--><!--[-1--><a href="/lab/#chris-hagen" class="svelte-1jt144g"><!---->Christopher Hagen<!----></a><!--]--><!--]--><!--]--><!----> (2019)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.fuel.2019.01.054">Predicting fuel low-temperature combustion performance using Fourier-transform infrared absorption spectra of neat hydrocarbons</a></span><!--]--> <br/><small><em>Fuel</em></small> <!--[0--><span><br/><small>Builds on our previously demonstrated work, trains a model using infrared spectra to predict the performance of fuels in low-temperature combustion engines.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.fuel.2019.01.054" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g">
54<span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#FTIR-LTC" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2018<!--[-1--><!--]--></h3><!--]--> <div id="joss"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.7717/peerj-cs.147" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-joss.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="joss" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Arfon M. Smith<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Daniel S. Katz<!--]-->, <!--[0-->Lorena A. Barba<!--]-->, <!--[0-->George Githinji<!--]-->, <!--[0-->Melissa Gymrek<!--]-->, <!--[0-->Kathryn D. Huff<!--]-->, <!--[0-->Christopher R. Madan<!--]-->, <!--[0-->Abigail Cabunoc Mayes<!--]-->, <!--[0-->Kevin M. Moerman<!--]-->, <!--[0-->Pjotr Prins<!--]-->, <!--[0-->Karthik Ram<!--]-->, <!--[0-->Ariel Rokem<!--]-->, <!--[0-->Tracy K. Teal<!--]-->, <!--[0-->Roman Valls Guimera<!--]-->, <!--[0-->Jacob T. Vanderplas<!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.7717/peerj-cs.147">Journal of Open Source Software (JOSS): design and first-year review</a></span><!--]--> <br/><small><em>PeerJ Computer Science</em></small> <!--[0--><span><br/><small>Describes the motivation, design, and progress of the Journal of Open Source Software (JOSS), which is a free and open-access journal that publishes articles describing research software.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.7717/peerj-cs.147" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#joss" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="wssspe4"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5334/jors.184" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-wssspe4.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="wssspe4" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Daniel S. Katz<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Sandra Gesing<!--]-->, <!--[0-->Lorraine Hwang<!--]-->, <!--[0-->Wolfgang Bangerth<!--]-->, <!--[0-->Simon Hettrick<!--]-->, <!--[0-->Ray Idaszak<!--]-->, <!--[0-->Jean Salac<!--]-->, <!--[0-->Neil Chue Hong<!--]-->, <!--[0-->Santiago Núñez-Corrales<!--]-->, <!--[0-->Alice Allen<!--]-->, <!--[0-->R. Stuart Geiger<!--]-->, <!--[0-->Jonah Miller<!--]-->, <!--[0-->Emily Chen<!--]-->, <!--[0-->Anshu Dubey<!--]-->, <!--[0-->Patricia Lago<!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5334/jors.184">
54Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4)</a></span><!--]--> <br/><small><em>Journal of Open Research Software</em></small> <!--[0--><span><br/><small>Records and discusses the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4).</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5334/jors.184" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#wssspe4" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="tomorrows-university"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.12688/f1000research.17425.1" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-tomorrows-university.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="tomorrows-university" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Daniel S. Katz<!--]-->, <!--[0-->Gabrielle Allen<!--]-->, <!--[0-->Lorena A. Barba<!--]-->, <!--[0-->Devin R. Berg<!--]-->, <!--[0-->Holly Bik<!--]-->, <!--[0-->Carl Boettiger<!--]-->, <!--[0-->Christine L. Borgman<!--]-->, <!--[0-->C. Titus Brown<!--]-->, <!--[0-->Stuart Buck<!--]-->, <!--[0-->Randy Burd<!--]-->, <!--[0-->Anita de Waard<!--]-->, <!--[0-->Martin Paul Eve<!--]-->, <!--[0-->Brian E. Granger<!--]-->, <!--[0-->Josh Greenberg<!--]-->, <!--[0-->Adina Howe<!--]-->, <!--[0-->Bill Howe<!--]-->, <!--[0-->May Khanna<!--]-->, <!--[0-->Timothy L. Killeen<!--]-->, <!--[0-->Matthew Mayernik<!--]-->, <!--[0-->Erin McKiernan<!--]-->, <!--[0-->Chris Mentzel<!--]-->, <!--[0-->Nirav Merchant<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Laura Noren<!--]-->, <!--[0-->Sarah M. Nusser<!--]-->, <!--[0-->Daniel A. Reed<!--]-->, <!--[0-->Edward Seidel<!--]-->, <!--[0-->MacKenzie Smith<!--]-->, <!--[0-->Jeffrey R. Spies<!--]-->, <!--[0-->Matt Turk<!--]-->, <!--[0-->John D. Van Horn<!--]-->, <!--[0-->Jay Walsh<!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.12688/f1000research.17425.1">The principles of tomorrow's university</a></span><!--]--> <br/><small><em>F1000Research</em></small> <!--[0--><span><br/><small>Discusses and summarizes the activities of a workshop on imagining the university of tomorrow, focused on open scholarly research.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.12688/f1000research.17425.1" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#tomorrows-university" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="open-engineering"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.12688/f1000research.14593.2" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-open-engineering.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="open-engineering" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Devin R. Berg<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.12688/f1000research.14593.2">The case for openness in engineering research</a></span><!--]--> <br/><small><em>F1000Research</em></small> <!--[0--><span><br/><small>Reviews benefits and possible downsides of open science in engineering research, making the case that a culture of openness and sharing in the engineering community can help drive societal development.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.12688/f1000research.14593.2" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#open-engineering" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="aps-analysis"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1115/1.4039439" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-aps-analysis.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="aps-analysis" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#miguel-soler" class="svelte-1jt144g"><!---->Miguel Soler<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1115/1.4039439">Analysis of an approach for detecting arc positions during vacuum arc remelting based on magnetic flux density measurements</a></span><!--]--> <br/><small><em>Journal of Manufacturing Science and Engineering</em></small> <!--[0--><span><br/><small>Examines the assumptions made in a commercially used method for detecting the locations of electrical arcs in vacuum arc remelting furnaces, which are used to produce high-grade metal ingots.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1115/1.4039439" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://osf.io/wca5h/" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#aps-analysis" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="FACE-surrogates"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1021/acs.energyfuels.8b01313" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-FACE-surrogates.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="FACE-surrogates" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#shane-daly" class="svelte-1jt144g"><!---->Shane Daly<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->William R. Cannella<!--]-->, <!--[1--><!--[-1--><a href="/lab/#chris-hagen" class="svelte-1jt144g"><!---->Christopher Hagen<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1021/acs.energyfuels.8b01313">FACE gasoline surrogates formulated by an enhanced multivariate optimization framework</a></span><!--]--> <br/><small><em>Energy &amp; Fuels</em></small> <!--[-1--><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1021/acs.energyfuels.8b01313" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1806.06982" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#FACE-surrogates" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="GPU-swept-rule-1D"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.jcp.2017.12.028" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-GPU-swept-rule-1D.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="GPU-swept-rule-1D" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#dan-magee" class="svelte-1jt144g"><!---->Dan Magee<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.jcp.2017.12.028">Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time-space decomposition</a></span><!--]--> <br/><small><em>Journal of Computational Physics</em></small> <!--[0--><span><br/><small>Implements a recent domain decomposition scheme on GPUs, the swept time-space decomposition rule, and analyzes its performance for solving one-dimensional partial differential equations. </small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.jcp.2017.12.028" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1705.03162" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#GPU-swept-rule-1D" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="chemistry-vectorization1"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.cpc.2018.01.015" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-chemistry-vectorization1.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="chemistry-vectorization1" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Christopher P. Stone<!--]-->, <!--[1--><!--[-1--><a href="/lab/#andrew-alferman" class="svelte-1jt144g"><!---->Andrew T. Alferman<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.cpc.2018.01.015">Accelerating finite-rate chemical kinetics with coprocessors: Comparing vectorization methods on GPUs, MICs, and CPUs</a></span><!--]--> <br/><small><em>Computer Physics Communications</em></small> <!--[-1--><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.cpc.2018.01.015" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1608.05794" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#chemistry-vectorization1" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="simd-simt-pyjac2"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2018.09.008" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-simd-simt-pyjac2.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="simd-simt-pyjac2" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#nick-curtis" class="svelte-1jt144g"><!---->Nicholas Curtis<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2018.09.008">Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Presents an updated version of the pyJac software for generating analytical Jacobian matrices, featuring alternate formulations that allow for sparse linear algebra operations and vectorized evaluation.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2018.09.008" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1809.01029" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#simd-simt-pyjac2" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="model-parameter-discrepancy"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2017.11.018" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-model-parameter-discrepancy.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="model-parameter-discrepancy" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Sai Krishna Sirumalla<!--]-->, <!--[1--><!--[-1--><a href="/lab/#morgan-mayer" class="svelte-1jt144g"><!---->Morgan Mayer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#rwest" class="svelte-1jt144g"><!---->Richard West<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2017.11.018">Assessing impacts of discrepancies in model parameters on autoignition model performance: A case study using butanol</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Shows that discrepancies between parameters in chemical kinetic models found across the literature can lead to significantly different outcomes, and calls for concerted efforts to compile all kinetic models, parameters, and experimental measurements into shared databases.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2017.11.018" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1708.02232" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#model-parameter-discrepancy" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="chemked"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1002/kin.21142" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-chemked.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="chemked" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#bryan-weber" class="svelte-1jt144g"><!---->Bryan Weber<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2018)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1002/kin.21142">ChemKED: A human- and machine-readable data standard for chemical kinetics experiments</a></span><!--]--> <br/><small><em>International Journal of Chemical Kinetics</em></small> <!--[0--><span><br/><small>Introduces the ChemKED file standard for describing fundamental combustion experiments, along with a Python-based software package for validating and working with files.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1002/kin.21142" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g">
54<span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1706.01987" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#chemked" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2017<!--[-1--><!--]--></h3><!--]--> <div id="peer-review"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.12688/f1000research.12037.3" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-peer-review.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="peer-review" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Jonathan P. Tennant<!--]-->, <!--[0-->Jonathan M. Dugan<!--]-->, <!--[0-->Daniel Graziotin<!--]-->, <!--[0-->Damien C. Jacques<!--]-->, <!--[0-->François Waldner<!--]-->, <!--[0-->Daniel Mietchen<!--]-->, <!--[0-->Yehia Elkhatib<!--]-->, <!--[0-->Lauren B. Collister<!--]-->, <!--[0-->Christina K. Pikas<!--]-->, <!--[0-->Tom Crick<!--]-->, <!--[0-->Paola Masuzzo<!--]-->, <!--[0-->Anthony Caravaggi<!--]-->, <!--[0-->Devin R. Berg<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Tony Ross-Hellauer<!--]-->, <!--[0-->Sara Mannheimer<!--]-->, <!--[0-->Lillian Rigling<!--]-->, <!--[0-->Daniel S. Katz<!--]-->, <!--[0-->Bastian Greshake Tzovaras<!--]-->, <!--[0-->Josmel Pacheco-Mendoza<!--]-->, <!--[0-->Nazeefa Fatima<!--]-->, <!--[0-->Marta Poblet<!--]-->, <!--[0-->Marios Isaakidis<!--]-->, <!--[0-->Dasapta Erwin Irawan<!--]-->, <!--[0-->Sébastien Renaut<!--]-->, <!--[0-->Christopher R. Madan<!--]-->, <!--[0-->Lisa Matthias<!--]-->, <!--[0-->Jesper Nørgaard Kjær<!--]-->, <!--[0-->Daniel Paul O'Donnell<!--]-->, <!--[0-->Cameron Neylon<!--]-->, <!--[0-->Sarah Kearns<!--]-->, <!--[0-->Manojkumar Selvaraju<!--]-->, <!--[0-->Julien Colomb<!--]--><!--]--><!----> (2017)</small> <br/> <!--[0--><span><a href="https://doi.org/10.12688/f1000research.12037.3">A multi-disciplinary perspective on emergent and future innovations in peer review</a></span><!--]--> <br/><small><em>F1000 Research</em></small> <!--[0--><span><br/><small>Examines models for peer review across the systems of scholarly communication, and proposes potential new models that resolve technical and social issues inherent to the status quo.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.12688/f1000research.12037.3" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#peer-review" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="butanol-skeletal-models"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1021/acs.energyfuels.6b01857" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-butanol-skeletal-models.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="butanol-skeletal-models" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Xin Hui<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a>
54<!--]--><!--]-->, <!--[0-->Kyle B. Brady<!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2017)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1021/acs.energyfuels.6b01857">Reduced chemistry for butanol isomers at engine-relevant conditions</a></span><!--]--> <br/><small><em>Energy &amp; Fuels</em></small> <!--[0--><span><br/><small>Presents and analyzes reduced chemical kinetic models for the four isomers of butanol. Discusses some issues related to pressure-dependent reactions made using the logarithmic pressure interpolation approach.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1021/acs.energyfuels.6b01857" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1706.02043" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#butanol-skeletal-models" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="oil-water-natural-gas-engine"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.jngse.2017.02.038" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-oil-water-natural-gas-engine.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="oil-water-natural-gas-engine" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Shyam Menon<!--]-->, <!--[1--><!--[-1--><a href="/lab/#himakar-ganti" class="svelte-1jt144g"><!---->Himakar Ganti<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#chris-hagen" class="svelte-1jt144g"><!---->Christopher Hagen<!----></a><!--]--><!--]--><!--]--><!----> (2017)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.jngse.2017.02.038">Effects of oil and water contamination on natural gas engine combustion processes</a></span><!--]--> <br/><small><em>Journal of Natural Gas Science and Engineering</em></small> <!--[0--><span><br/><small>Investigates the effects of upstream conditions of natural gas on conditions in an internal combustion engine, finding that water does not have an impact but oil contamination can play a larger role.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.jngse.2017.02.038" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://osf.io/h5dru/" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#oil-water-natural-gas-engine" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="pyjac"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.cpc.2017.02.004" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-pyjac.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="pyjac" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#nick-curtis" class="svelte-1jt144g"><!---->Nicholas Curtis<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2017)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.cpc.2017.02.004">pyJac: Analytical Jacobian generator for chemical kinetics</a></span><!--]--> <br/><small><em>Computer Physics Communications</em></small> <!--[0--><span><br/><small>Presents the pyJac software package for automatically generating analytical Jacobian matrices for chemical kinetic models, which can be used to speed up simulations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.cpc.2017.02.004" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1605.03262" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#pyjac" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="stiff-GPU-integrators"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2017.02.005" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-stiff-GPU-integrators.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="stiff-GPU-integrators" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#nick-curtis" class="svelte-1jt144g"><!---->Nicholas Curtis<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2017)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2017.02.005">An investigation of GPU-based stiff chemical kinetics integration methods</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Studies the performance on GPUs of multiple integration algorithms for stiff chemical kinetics, building on an earlier study of simpler algorithms that can only handle moderate stiffness.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2017.02.005" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1607.03884" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#stiff-GPU-integrators" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2016<!--[-1--><!--]--></h3><!--]--> <div id="software-citation-principles"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.7717/peerj-cs.86" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-software-citation-principles.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="software-citation-principles" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Arfon M Smith<!--]-->, <!--[0-->Daniel S Katz<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->FORCE11 Software Citation Working Group<!--]--><!--]--><!----> (2016)</small> <br/> <!--[0--><span><a href="https://doi.org/10.7717/peerj-cs.86">Software Citation Principles</a></span><!--]--> <br/><small><em>PeerJ Computer Science</em></small> <!--[0--><span><br/><small>Presents a consolidated set of principles for citing software in scholarly studies, to encourage broad adoption of a consistent policy for software citation across disciplines and venues.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.7717/peerj-cs.86" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#software-citation-principles" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="wssspe3"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.5334/jors.118" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-wssspe3.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="wssspe3" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Daniel S. Katz<!--]-->, <!--[0-->Sou-Cheng T. Choi<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->James Hetherington<!--]-->, <!--[0-->Frank Löffler<!--]-->, <!--[0-->Dan Gunter<!--]-->, <!--[0-->Ray Idaszak<!--]-->, <!--[0-->Steven R. Brandt<!--]-->, <!--[0-->Mark A. Miller<!--]-->, <!--[0-->Sandra Gesing<!--]-->, <!--[0-->Nick D. Jones<!--]-->, <!--[0-->Nic Weber<!--]-->, <!--[0-->Suresh Marru<!--]-->, <!--[0-->Gabrielle Allen<!--]-->, <!--[0-->Birgit Penzenstadler<!--]-->, <!--[0-->Colin C. Venters<!--]-->, <!--[0-->Ethan Davis<!--]-->, <!--[0-->Lorraine Hwang<!--]-->, <!--[0-->Ilian Todorov<!--]-->, <!--[0-->Abani Patra<!--]-->, <!--[0-->Miguel de Val-Borro<!--]--><!--]--><!----> (2016)</small> <br/> <!--[0--><span><a href="https://doi.org/10.5334/jors.118">
54Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3)</a></span><!--]--> <br/><small><em>Journal of Open Research Software</em></small> <!--[0--><span><br/><small>Records and discusses the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3).</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.5334/jors.118" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#wssspe3" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="software-citation-challenge"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1145/2968452" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-software-citation-challenge.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="software-citation-challenge" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->Arfon M Smith<!--]-->, <!--[0-->Daniel S Katz<!--]--><!--]--><!----> (2016)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1145/2968452">The challenge and promise of software citation for credit, identification, discovery, and reuse</a></span><!--]--> <br/><small><em>Journal of Data and Information Quality</em></small> <!--[0--><span><br/><small>Presents the challenge of software citation as a method to ensure credit for and identification, discovery, and reuse of software in scientific and engineering research. Also discusses related work and key challenges/research directions.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1145/2968452" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1601.04734" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#software-citation-challenge" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="RON-FTIR"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.fuel.2016.06.097" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-RON-FTIR.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="RON-FTIR" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#shane-daly" class="svelte-1jt144g"><!---->Shane Daly<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->William J. Cannella<!--]-->, <!--[1--><!--[-1--><a href="/lab/#chris-hagen" class="svelte-1jt144g"><!---->Christopher Hagen<!----></a>
54<!--]--><!--]--><!--]--><!----> (2016)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.fuel.2016.06.097">Predicting fuel research octane number using Fourier-transform infrared absorption spectra of neat hydrocarbons</a></span><!--]--> <br/><small><em>Fuel</em></small> <!--[0--><span><br/><small>Presents a statistical model for accurately predicting the octane numbers of practical gasoline fuels, using their infrared spectra. Showed that models can be developed using neat fuels and their blends for broad applicability.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.fuel.2016.06.097" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1606.07122" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#RON-FTIR" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2015<!--[0--><small>— <em>Started tenure-track position</em></small><!--]--></h3><!--]--> <div id="LTC-index"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1115/1.4029948" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-LTC-index.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="LTC-index" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#shane-daly" class="svelte-1jt144g"><!---->Shane Daly<!----></a><!--]--><!--]-->, <!--[0-->William J. Cannela<!--]-->, <!--[1--><!--[-1--><a href="/lab/#chris-hagen" class="svelte-1jt144g"><!---->Christopher Hagen<!----></a><!--]--><!--]--><!--]--><!----> (2015)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1115/1.4029948">A novel fuel performance index for LTC engines based on operating envelopes in light-duty driving cycle simulations</a></span><!--]--> <br/><small><em>Journal of Engineering for Gas Turbines and Power</em></small> <!--[0--><span><br/><small>Presents a new metric for quantifying the performance of fuels for low-temperature combustion engines, that uses simulations of a light-duty vehicle over standard driving cycle and the associated engine operating envelope.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1115/1.4029948" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://osf.io/zd9tc/" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#LTC-index" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="reduced-gasoline-surrogate"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1021/ef5022126" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-reduced-gasoline-surrogate.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="reduced-gasoline-surrogate" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2015)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1021/ef5022126">Reduced chemistry for a gasoline surrogate valid at engine-relevant conditions</a></span><!--]--> <br/><small><em>Energy &amp; Fuels</em></small> <!--[0--><span><br/><small>Demonstrates a multi-stage approach to reducing chemical kinetic models, and uses it to produce separate reduced models for gasoline surrogate fuels for spark-ignition engine and low-temperature compression-ignition engine simulations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1021/ef5022126" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="http://arxiv.org/abs/1410.0401" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#reduced-gasoline-surrogate" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="LTC-index-oxygenated"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.fuel.2015.04.010" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-LTC-index-oxygenated.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="LTC-index-oxygenated" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#shane-daly" class="svelte-1jt144g"><!---->Shane Daly<!----></a><!--]--><!--]-->, <!--[0-->William J. Cannela<!--]-->, <!--[1--><!--[-1--><a href="/lab/#chris-hagen" class="svelte-1jt144g"><!---->Christopher Hagen<!----></a><!--]--><!--]--><!--]--><!----> (2015)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.fuel.2015.04.010">Investigation of the LTC fuel performance index for oxygenated reference fuel blends</a></span><!--]--> <br/><small><em>Fuel</em></small> <!--[0--><span><br/><small>Extends the study of our LTC fuel performance index to consider fuel blends with oxygenated components like ethanol.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.fuel.2015.04.010" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.31224/osf.io/f9tm8" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#LTC-index-oxygenated" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="nbutanol-counterflow"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2015.06.017" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-nbutanol-counterflow.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="nbutanol-counterflow" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Kyle B Brady<!--]-->, <!--[0-->Xin Hui<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2015)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2015.06.017">Counterflow ignition of n-butanol at atmospheric and elevated pressures</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Used a new experimental apparatus to study and investigate chemical kinetic models for n-butanol, identifying gaps in the current understanding of how the fuel reacts and ignites.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2015.06.017" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="http://hdl.handle.net/1957/58775" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#nbutanol-counterflow" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="target-species-selection"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2014.11.004" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-target-species-selection.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="target-species-selection" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#nick-curtis" class="svelte-1jt144g"><!---->Nicholas Curtis<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2015)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2014.11.004">An automated target species selection method for dynamic adaptive chemistry simulations</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Introduces a new method for automatically identifying important target species for use with dynamic algorithms to reduce chemical kinetic models on the fly.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2014.11.004" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g">
54<span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1804.01591" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#target-species-selection" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="kerosene-reduction"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1007/s10409-015-0434-5" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-kerosene-reduction.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="kerosene-reduction" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Fengquan Zhong<!--]-->, <!--[0-->
54Sugang Ma<!--]-->, <!--[0-->Xinyu Zhang<!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]--><!--]--><!----> (2015)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1007/s10409-015-0434-5">Development of efficient and accurate skeletal mechanisms for hydrocarbon fuels and kerosene surrogate</a></span><!--]--> <br/><small><em>Acta Mechanica Sinica</em></small> <!--[-1--><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1007/s10409-015-0434-5" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://ir.library.oregonstate.edu/concern/articles/bv73c2307" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#kerosene-reduction" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2014<!--[0--><small>— <em>Shifted to research faculty position</em></small><!--]--></h3><!--]--> <div id="moderately-stiff-GPU"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.jcp.2013.09.025" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-moderately-stiff-GPU.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="moderately-stiff-GPU" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2014)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.jcp.2013.09.025">Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs</a></span><!--]--> <br/><small><em>Journal of Computational Physics</em></small> <!--[0--><span><br/><small>While integrating chemical kinetics usually requires complex implicit algorithms to handle stiffness, certain stabilized explicit methods can handle moderate levels of stiffness, and these algorithms also parallelize efficiently on GPUs.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.jcp.2013.09.025" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1309.2710" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#moderately-stiff-GPU" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="multicomponent-reduction"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2014.05.001" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-multicomponent-reduction.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="multicomponent-reduction" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2014)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2014.05.001">Mechanism reduction for multicomponent surrogates: a case study using toluene reference fuels</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>When reducing chemical kinetic models for fuel blends, rather than a single fuel, additional care must be taken.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2014.05.001" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1405.3745" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#multicomponent-reduction" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[-1--><!--]--> <div id="review-GPU-CFD"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1007/s11227-013-1015-7" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-review-GPU-CFD.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="review-GPU-CFD" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2014)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1007/s11227-013-1015-7">Recent progress and challenges in exploiting graphics processors in computational fluid dynamics</a></span><!--]--> <br/><small><em>Journal of Supercomputing</em></small> <!--[0--><span><br/><small>Surveys the history (up to that point) of using graphics processing units (GPUs) for performing computational fluid dynamics simulations.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1007/s11227-013-1015-7" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1309.3018" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#review-GPU-CFD" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2011<!--[-1--><!--]--></h3><!--]--> <div id="graph-search"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2010.12.010" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-graph-search.png" alt="A clip from the paper's PDF."/><!----></a>
54<!--]--></div> <div class="right"><!--[-1--><!--]--><div id="graph-search" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]--><!--]--><!----> (2011)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2010.12.010">On the importance of graph search algorithms for DRGEP-based mechanism reduction methods</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Choosing an appropriate graph search algorithm makes a difference for kinetic model reduction methods based on graph theory for correctness and efficiency.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2010.12.010" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1606.07802" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#graph-search" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2010<!--[0--><small>— <em>Defended MS thesis; began PhD work</em></small><!--]--></h3><!--]--> <div id="drgepsa"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1016/j.combustflame.2009.12.022" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-drgepsa.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="drgepsa" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[1--><!--[-1--><a href="/lab/#cjsung" class="svelte-1jt144g"><!---->Chih-Jen Sung<!----></a><!--]--><!--]-->, <!--[0-->Mandhapati P Raju<!--]--><!--]--><!----> (2010)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1016/j.combustflame.2009.12.022">Skeletal mechanism generation for surrogate fuels using directed relation graph with error propagation and sensitivity analysis</a></span><!--]--> <br/><small><em>Combustion and Flame</em></small> <!--[0--><span><br/><small>Develops a new method for automatically reducing chemical kinetic models and applies it to large models for n-heptane, iso-octane, and n-decane.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1016/j.combustflame.2009.12.022" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://arxiv.org/abs/1607.05079" target="_blank" rel="noreferrer"><!---->eprint<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#drgepsa" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a>
54<!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--[0--><h3>2009<!--[0--><small>— <em>Graduated from BS; 1st year of MS</em></small><!--]--></h3><!--]--> <div id="bone-imaging"><!--[-1--><div class="block svelte-mvy2et"><div class="left svelte-mvy2et"><!--[0--><a href="https://doi.org/10.1111/j.1365-2818.2009.03204.x" target="_blank" rel="noreferrer"><img class="thumbnail  svelte-16uaffw" src="/images/papers/paper-bone-imaging.png" alt="A clip from the paper's PDF."/><!----></a><!--]--></div> <div class="right"><!--[-1--><!--]--><div id="bone-imaging" class="paper svelte-p89pme"><!--[-1--><!--]--> <small><!--[--><!--[0-->Craig R. Slyfield<!--]-->, <!--[1--><!--[-1--><a href="/lab/#ken" class="svelte-1jt144g"><!---->Kyle E. Niemeyer<!----></a><!--]--><!--]-->, <!--[0-->EV Tkachenko<!--]-->, <!--[0-->Ryan E Tomlinson<!--]-->, <!--[0-->Grant G Steyer<!--]-->, <!--[0-->CG Patthanacharoenphon<!--]-->, <!--[0-->GJ Kazakia<!--]-->, <!--[0-->David L Wilson<!--]-->, <!--[0-->Christopher J Hernandez<!--]--><!--]--><!----> (2009)</small> <br/> <!--[0--><span><a href="https://doi.org/10.1111/j.1365-2818.2009.03204.x">Three-dimensional surface texture visualization of bone tissue through epifluorescence-based serial block face imaging</a></span><!--]--> <br/><small><em>Journal of Microscopy</em></small> <!--[0--><span><br/><small>Developed a method to visualize the surfaces of bones, and create three-dimensional models, by processing high-resolution images taken as microscopic surfaces were ground away.</small></span><!--]--> <div><small><button type="button" class="toggle" aria-expanded="false">▸ cite</button> ⋅ <button type="button" class="toggle" aria-expanded="false">▸ bibtex</button> <!--[-1--><!--]--> <!--[0--><span>⋅ <!--[1--><a href="https://doi.org/10.1111/j.1365-2818.2009.03204.x" target="_blank" rel="noreferrer"><!---->doi<!----><!--[0--><span class="external svelte-1jt144g"><span class="emoji svelte-1lxxlia">🔗︎</span><!----></span><!--]--></a><!--]--><!----></span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> ⋅ <!--[-1--><a href="/publications#bone-imaging" class="svelte-1jt144g"><span class="emoji">🔗</span><!----></a><!--]--><!----></small></div> <!--[-1--><!--]--> <!--[-1--><!--]--></div><!----></div></div><!--]--><!----></div><!--]--><!--]--><!----><!----> <div><hr/> <small><p xmlns:dct="https://purl.org/dc/terms/" xmlns:vcard="https://www.w3.org/2001/vcard-rdf/3.0#"><a rel="license" href="https://creativecommons.org/publicdomain/zero/1.0/"><img src="https://i.creativecommons.org/p/zero/1.0/88x31.png" style="border-style: none;" alt="CC0" class="svelte-jz8lnl"/></a> Last updated 8/28/2026. To the extent
55            possible under law, <a rel="dct:publisher" href="https://niemeyer-research-group.github.io"><span property="dct:title">Kyle E. Niemeyer</span></a> has waived all copyright and related or neighboring rights to the design
56            and implementation of <span property="dct:title">Kyle's faculty site</span>. This work is
57            published from the <span property="vcard:Country" datatype="dct:ISO3166" content="US" about="https://niemeyer-research-group.github.io">United States</span>. See <a href="https://github.com/Niemeyer-Research-Group/niemeyer-research-group.github.io" target="_blank" rel="noreferrer" class="svelte-railtd"><!---->this site's GitHub repository<!----></a><!----> to view source and provide feedback.</p></small></div><!----></div></div><!--]--><!--]--><!----><!--]--><!--]--> <!--[-1--><!--]--><!--]-->
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