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https://robertlupoiu.com/publications/list.js

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1// publications/list.js
2const publicationsList = [
3
4    //A multi-agentic framework for real-time,  autonomous freeform metasurface design
5    {
6        imageSrc: 'publications/images/lupoiu2025metachat.png',
7        title: 'A multi-agentic framework for real-time,  autonomous freeform metasurface design',
8        authors: '<strong>Robert Lupoiu</strong>, Yixuan Shao, Tianxiang Dai, Chenkai Mao, Kofi Edee, and Jonathan A. Fan',
9        journal: 'Science Advances, 2025.',
10        pdfLink: 'publications/pdfs/lupoiu2025metachat.pdf',
11        journalLink: 'https://www.science.org/doi/10.1126/sciadv.adx8006',
12        videoLink: '',
13        codeLink: 'https://github.com/jonfanlab/metachat',
14        dataLink: 'http://metanet.stanford.edu/search/metachat/',
15        websiteLink: '',
16        slidesLink: '',
17        bibtexData: 
18`@article{lupoiu2025multiagentic,
19	title = {A multi-agentic framework for real-time, autonomous freeform metasurface design},
20	volume = {11},
21	url = {https://www.science.org/doi/full/10.1126/sciadv.adx8006},
22	doi = {10.1126/sciadv.adx8006},
23	language = {en},
24	number = {44},
25	journal = {Science Advances},
26	author = {Lupoiu, Robert and Shao, Yixuan and Dai, Tianxiang and Mao, Chenkai and Edée, Kofi and Fan, Jonathan A},
27	year = {2025},
28}`,
29        selected: true, // Indicate whether the study is selected
30    },
31
32    //Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
33    {
34        imageSrc: 'publications/images/mao2024snapddm.png',
35        title: 'Towards General Neural Surrogate Solvers with Specialized Neural Accelerators',
36        authors: 'Chenkai Mao, <strong>Robert Lupoiu</strong>, Tianxiang Dai, Mingkun Chen, and Jonathan A. Fan',
37        journal: 'ICML, 2024.',
38        pdfLink: 'publications/pdfs/mao2024snapddm.pdf',
39        journalLink: 'https://openreview.net/forum?id=FNKnLhLuhY',
40        videoLink: '',
41        codeLink: '',
42        dataLink: '',
43        websiteLink: '',
44        slidesLink: '',
45        bibtexData: 
46`@misc{mao2024snapddm,
47	title = {Towards {General} {Neural} {Surrogate} {Solvers} with {Specialized} {Neural} {Accelerators}},
48	url = {http://arxiv.org/abs/2405.02351},
49	doi = {10.48550/arXiv.2405.02351},
50	publisher = {arXiv},
51	author = {Mao, Chenkai and Lupoiu, Robert and Dai, Tianxiang and Chen, Mingkun and Fan, Jonathan A.},
52	year = {2024},
53	note = {arXiv:2405.02351 [cs]},
54}`,
55        selected: true, // Indicate whether the study is selected
56    },
57
58    //Multifunctional Spaceplates for Optical Aberration Correction
59    {
60        imageSrc: 'publications/images/shao2024spaceplates.png',
61        title: 'Multifunctional Spaceplates for Optical Aberration Correction',
62        authors: 'Yixuan Shao, <strong>Robert Lupoiu</strong>, Jiaqi Jiang, You Zhou, Tom D. Milster, and Jonathan A. Fan',
63        journal: 'ACS Photonics, 2024.',
64        pdfLink: 'publications/pdfs/shao2024spaceplates.pdf',
65        journalLink: 'https://pubs.acs.org/doi/10.1021/acsphotonics.4c00086',
66        videoLink: '',
67        codeLink: '',
68        dataLink: '',
69        websiteLink: '',
70        slidesLink: '',
71        bibtexData: 
72`@article{shao_multifunctional_2024,
73	title = {Multifunctional {Spaceplates} for {Optical} {Aberration} {Correction}},
74	volume = {11},
75	url = {https://pubs.acs.org/doi/10.1021/acsphotonics.4c00086},
76	doi = {10.1021/acsphotonics.4c00086},
77	number = {4},
78	journal = {ACS Photonics},
79	author = {Shao, Yixuan and Lupoiu, Robert and Jiang, Jiaqi and Zhou, You and Milster, Tom D. and Fan, Jonathan A.},
80	year = {2024},
81	pages = {1753--1760},
82}`,
83        selected: false, // Indicate whether the study is selected
84    },
85
86    //Atomically Precise Manufacturing of Silicon Electronics
87    {
88        imageSrc: 'publications/images/pitters2024atomically.png',
89        title: 'Atomically Precise Manufacturing of Silicon Electronics',
90        authors: 'Jason Pitters, Jeremiah Croshaw, Roshan Achal, Lucian Livadaru, Samuel Ng, <strong>Robert Lupoiu</strong>, Taras Chutora, Talena Huff, Konrad Walus, and Robert A. Wolkow',
91        journal: 'ACS Nano, 2024.',
92        pdfLink: 'publications/pdfs/pitters2024atomically.pdf',
93        journalLink: 'https://pubs.acs.org/doi/10.1021/acsnano.3c10412',
94        videoLink: '',
95        codeLink: '',
96        dataLink: '',
97        websiteLink: '',
98        slidesLink: '',
99        bibtexData: 
100`@article{pitters2024atomically,
101	title = {Atomically {Precise} {Manufacturing} of {Silicon} {Electronics}},
102	volume = {18},
103	url = {https://pubs.acs.org/doi/10.1021/acsnano.3c10412},
104	doi = {10.1021/acsnano.3c10412},
105	number = {9},
106	journal = {ACS Nano},
107	author = {Pitters, Jason and Croshaw, Jeremiah and Achal, Roshan and Livadaru, Lucian and Ng, Samuel and Lupoiu, Robert and Chutora, Taras and Huff, Taleana and Walus, Konrad and Wolkow, Robert A.},
108	year = {2024},
109	pages = {6766--6816},
110}`,
111        selected: false, // Indicate whether the study is selected
112    },
113
114    //Machine Learning Advances in Computational Electromagnetics (Wiley book chapter)
115    {
116        imageSrc: 'publications/images/lupoiu2023machine.png',
117        title: 'Machine Learning Advances in Computational Electromagnetics (Book Chapter)',
118        authors: '<strong>Robert Lupoiu</strong> and Jonathan A. Fan',
119        journal: 'Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning, John Wiley & Sons, Inc., 2023.',
120        pdfLink: 'publications/pdfs/lupoiu2023machine.pdf',
121        journalLink: 'https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119853923.ch7',
122        videoLink: '',
123        codeLink: '',
124        dataLink: '',
125        websiteLink: '',
126        slidesLink: '',
127        bibtexData: 
128`@inbook{lupoiu2023machine,
129author = {Lupoiu, Robert and Fan, Jonathan A.},
130publisher = {John Wiley & Sons, Ltd},
131isbn = {9781119853923},
132title = {Machine Learning Advances in Computational Electromagnetics},
133booktitle = {Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning},
134chapter = {7},
135pages = {225--252},
136doi = {10.1002/9781119853923.ch7},
137url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119853923.ch7},
138eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119853923.ch7},
139year = {2023},
140}`,
141        selected: true, // Indicate whether the study is selected
142    },
143
144    //Original WaveY-Net paper
145    {
146        imageSrc: 'publications/images/chen2022high.webp',
147        title: 'High Speed Simulation and Freeform Optimization of Nanophotonic Devices with Physics-Augmented Deep Learning',
148        authors: 'Mingkun Chen*, <strong>Robert Lupoiu*</strong>, Chenkai Mao*, Der-Han Huang*, Jiaqi Jiang, Philippe Lalanne and Jonathan A. Fan',
149        journal: 'ACS Photonics, 2022.',
150        pdfLink: 'publications/pdfs/chen2022high.pdf',
151        journalLink: 'https://doi.org/10.1021/acsphotonics.2c00876',
152        videoLink: 'https://twitter.com/robertlupoiu/status/1703178432841142495',
153        codeLink: 'https://github.com/jonfanlab/waveynet',
154        dataLink: 'http://metanet.stanford.edu/search/waveynet-study/',
155        websiteLink: '',
156        slidesLink: '',
157        bibtexData: 
158`@article{chen2022high,
159author = {Chen, Mingkun and Lupoiu, Robert and Mao, Chenkai and Huang, Der-Han and Jiang, Jiaqi and Lalanne, Philippe and Fan, Jonathan A.},
160title = {High Speed Simulation and Freeform Optimization of Nanophotonic Devices with Physics-Augmented Deep Learning},
161journal = {ACS Photonics},
162volume = {9},
163number = {9},
164pages = {3110--3123},
165year = {2022},
166publisher = {American Chemical Society},
167doi = {10.1021/acsphotonics.2c00876},
168URL = {https://pubs.acs.org/doi/abs/10.1021/acsphotonics.2c00876},
169}`,
170        selected: true, // Indicate whether the study is selected
171    },
172
173    //Automated SiDB circuit designer paper
174    {
175        imageSrc: 'publications/images/lupoiu2022automated.png',
176        title: 'Automated Atomic Silicon Quantum Dot Circuit Design via Deep Reinforcement Learning',
177        authors: '<strong>Robert Lupoiu</strong>, Samuel S. H. Ng, Jonathan A. Fan and Konrad Walus',
178        journal: 'arXiv, 2022.',
179        pdfLink: 'publications/pdfs/lupoiu2022automated.pdf',
180        journalLink: 'https://doi.org/10.48550/arXiv.2204.06288',
181        videoLink: '',
182        codeLink: '',
183        dataLink: '',
184        websiteLink: '',
185        slidesLink: '',
186        bibtexData: 
187`@article{lupoiu2022automated,
188author = {Lupoiu, Robert and Ng, Samuel S. H. and Fan, Jonathan A. and Walus, Konrad},
189title = {Automated Atomic Silicon Quantum Dot Circuit Design via Deep Reinforcement Learning},
190journal = {arXiv},
191year = {2022},
192eprint = {arXiv:2204.06288},
193doi = {10.48550/arXiv.2204.06288},
194URL = {https://arxiv.org/abs/2204.06288},
195}`,
196        selected: false, // Indicate whether the study is selected
197    },
198
199    //Metanet paper
200    {
201        imageSrc: 'publications/images/jiang2020metanet.png',
202        title: 'MetaNet: a new paradigm for data sharing in photonics research',
203        authors: 'Jiaqi Jiang, <strong>Robert Lupoiu</strong>, Evan W. Wang, David Sell, Jean-Paul Hugonin, Philippe Lalanne and Jonathan A. Fan',
204        journal: 'Optica Express, 2020.',
205        pdfLink: 'publications/pdfs/jiang2020metanet.pdf',
206        journalLink: 'https://doi.org/10.1364/OE.388378',
207        videoLink: '',
208        codeLink: '',
209        dataLink: '',
210        websiteLink: 'http://metanet.stanford.edu',
211        slidesLink: '',
212        bibtexData: 
213`@article{jiang2020metanet,
214author = {Jiang, Jiaqi and Lupoiu, Robert and Wang, Evan W. and Sell, David and Hugonin, Jean-Paul and Lalanne, Philippe and Fan, Jonathan A.},
215title = {MetaNet: a new paradigm for data sharing in photonics research},
216journal = {Opt. Express},
217volume = {28},
218number = {9},
219pages = {13670--13681},
220year = {2020},
221publisher = {Optica Publishing Group},
222doi = {10.1364/OE.388378},
223URL = {https://opg.optica.org/oe/abstract.cfm?URI=oe-28-9-13670},
224}`,
225        selected: true, // Indicate whether the study is selected
226    },
227
228    //SiQAD paper
229    {
230        imageSrc: 'publications/images/ng2020siqad.png',
231        title: 'SiQAD: A Design and Simulation Tool for Atomic Silicon Quantum Dot Circuits',
232        authors: 'Samuel S. H. Ng, Jacob Retallick, Hsi Nien Chiu, <strong>Robert Lupoiu</strong>, Lucian Livadaru, Taleana Huff, Mohammad Rashidi, Wyatt Vine, Thomas Dienel, Robert A. Wolkow and Konrad Walus',
233        journal: 'IEEE Transactions on Nanotechnology, 2020.',
234        pdfLink: 'publications/pdfs/ng2020siqad.pdf',
235        journalLink: 'https://doi.org/10.1109/TNANO.2020.2966162',
236        videoLink: '',
237        codeLink: 'https://github.com/siqad/siqad',
238        dataLink: '',
239        websiteLink: '',
240        slidesLink: '',
241        bibtexData: 
242`@article{ng2020siqad,
243author = {Ng, Samuel S. H. and Retallick, Jacob and Chiu, Hsi Nien and Lupoiu, Robert and Livadaru, Lucian and Huff, Taleana and Rashidi, Mohammad and Vine, Wyatt and Dienel, Thomas and Wolkow, Robert A. and Walus, Konrad},
244title = {SiQAD: A Design and Simulation Tool for Atomic Silicon Quantum Dot Circuits},
245journal = {IEEE Transactions on Nanotechnology},
246volume = {19},
247number = {},
248pages = {137--146},
249year = {2020},
250publisher = {IEEE},
251doi = {10.1109/TNANO.2020.2966162},
252URL = {https://ieeexplore.ieee.org/abstract/document/8963859},
253}`,
254        selected: false, // Indicate whether the study is selected
255    },
256
257    
258//     {
259//         imageSrc: 'publications/images/',
260//         title: '',
261//         authors: '<strong>Robert Lupoiu</strong>',
262//         journal: '.',
263//         pdfLink: 'publications/pdfs/',
264//         journalLink: '',
265//         videoLink: '',
266//         codeLink: '',
267//         dataLink: '',
268//         websiteLink: '',
269//         slidesLink: '',
270//         bibtexData: 
271// `@article{,
272// author = {},
273// title = {},
274// journal = {},
275// volume = {},
276// number = {},
277// pages = {},
278// year = {},
279// publisher = {},
280// doi = {},
281// URL = {},
282// }`,
283//         selected: true, // Indicate whether the study is selected
284//     },
285
286];
287
288export default publicationsList;

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.