CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems M Elhamod, J Bu, C Singh, M Redell, A Ghosh, V Podolskiy, WC Lee, ... ACM Transactions on Intelligent Systems and Technology 13 (6), 1-23, 2022 | 39 | 2022 |
Machine Learning-Based Diffractive Image Analysis with Subwavelength Resolution A Ghosh, DJ Roth, LH Nicholls, WP Wardley, AV Zayats, VA Podolskiy ACS Photonics 8 (5), 1448-1456, 2021 | 17 | 2021 |
Physics‐Informed Machine Learning for Optical Modes in Composites A Ghosh, M Elhamod, J Bu, WC Lee, A Karpatne, VA Podolskiy Advanced Photonics Research 3 (11), 2200073, 2022 | 4 | 2022 |
Machine learning-based diffractive imaging with subwavelength resolution A Ghosh, DJ Roth, LH Nicholls, WP Wardley, A Zayats, VA Podolskiy CLEO: QELS_Fundamental Science, FW3B. 7, 2020 | 4 | 2020 |
Learning faster and better: embedding Maxwell equations into machine learning S Lynch, A Ghosh, J LaMountain, VA Podolskiy, J Bu, M Elhamod, ... Metamaterials XIV, PC1299009, 2024 | | 2024 |
Science-informed machine-learning for optical composites (Conference Presentation) VA Podolskiy, A Ghosh, M Elhamod, J Bu, WC Lee, A Karpatne Metamaterials, Metadevices, and Metasystems 2022, PC121950Y, 2022 | | 2022 |
Physics-Informed Machine Learning for Optical Metamaterials A Ghosh University of Massachusetts Lowell, 2022 | | 2022 |
Physics-guided machine learning for Maxwell's equations A Ghosh, M Elhamod, J Bu, WC Lee, A Karpatne, VA Podolskiy Metamaterials, Metadevices, and Metasystems 2021 11795, 117952H, 2021 | | 2021 |
Diffractive Characterization of Sub-wavelength Objects with Machine Learning A Ghosh, DJ Roth, LH Nicholls, WP Wardley, A Zayats, VA Podolskiy CLEO: QELS_Fundamental Science, FTh2M. 6, 2021 | | 2021 |
Machine-learning-assisted diffractive imaging with subwavelength resolution VA Podolskiy, A Ghosh, DJ Roth, LH Nicholls, WP Wardley, AV Zayats Metamaterials, Metadevices, and Metasystems 2020 11460, 1146019, 2020 | | 2020 |