| Free-form optimization of nanophotonic devices: from classical methods to deep learning J Park, S Kim, DW Nam, H Chung, CY Park, MS Jang Nanophotonics 11 (9), 1809-1845, 2022 | 57 | 2022 |
| BPS graphs: from spectral networks to BPS quivers M Gabella, P Longhi, CY Park, M Yamazaki Journal of High Energy Physics 2017 (7), 1-49, 2017 | 36 | 2017 |
| ADE spectral networks P Longhi, CY Park Journal of High Energy Physics 2016 (8), 1-92, 2016 | 36 | 2016 |
| Structural optimization of a one-dimensional freeform metagrating deflector via deep reinforcement learning D Seo, DW Nam, J Park, CY Park, MS Jang ACS Photonics 9 (2), 452-458, 2021 | 27 | 2021 |
| 2d SCFTs from M2-branes K Hori, CY Park, Y Tachikawa Journal of High Energy Physics 2013 (11), 1-26, 2013 | 22 | 2013 |
| GMAC: A Distributional Perspective on Actor-Critic Framework DW Nam, Y Kim, CY Park International Conference on Machine Learning, 7927-7936, 2021 | 18 | 2021 |
| BPS spectrum of Argyres-Douglas theory via spectral network K Maruyoshi, CY Park, W Yan Journal of High Energy Physics 2013 (12), 1-56, 2013 | 17 | 2013 |
| Inverse design of organic light-emitting diode structure based on deep neural networks S Kim, JM Shin, J Lee, C Park, S Lee, J Park, D Seo, S Park, CY Park, ... Nanophotonics 10 (18), 4533-4541, 2021 | 15 | 2021 |
| ADE spectral networks and decoupling limits of surface defects P Longhi, CY Park Journal of High Energy Physics 2017 (2), 1-49, 2017 | 10 | 2017 |
| Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning C Park, S Kim, AW Jung, J Park, D Seo, Y Kim, C Park, CY Park, MS Jang Nanophotonics 13 (8), 1483-1492, 2024 | 4 | 2024 |
| Ramification points of Seiberg-Witten curves CY Park Journal of High Energy Physics 2011 (7), 1-51, 2011 | 4 | 2011 |
| Physics-informed reinforcement learning for sample-efficient optimization of freeform nanophotonic devices C Park, S Kim, AW Jung, J Park, D Seo, Y Kim, C Park, CY Park, MS Jang arXiv preprint arXiv:2306.04108, 2023 | 2 | 2023 |
| Branes and supersymmetric quantum field theories CY Park California Institute of Technology, 2014 | 1 | 2014 |
| Meent: Differentiable Electromagnetic Simulator for Machine Learning Y Kim, AW Jung, S Kim, K Octavian, D Heo, C Park, J Shin, S Nam, C Park, ... arXiv preprint arXiv:2406.12904, 2024 | | 2024 |
| Deep reinforcement learning enables freeform structure optimization of 1D metagrating deflector D Seo, DW Nam, J Park, CY Park, MS Jang Novel Optical Systems, Methods, and Applications XXV 12216, 122160G, 2022 | | 2022 |
| 2d SCFT from M-branes and its spectral network CY Park Proc. Symp. Pure Math. 88 (arXiv: 1401.2207), 361, 2014 | | 2014 |
Min Seok JangAssociate Professor, Korea Advanced Institute of Science and Technology在 kaist.ac.kr 的电子邮件经过验证
