| Machine learning enables design of on-chip integrated silicon T-junctions with footprint of 1.2 μm× 1.2 μm S Banerji, A Majumder, A Hamrick, R Menon, B Sensale-Rodriguez Nano Communication Networks 25, 100312, 2020 | 19 | 2020 |
| Ultra-compact integrated photonic devices enabled by machine learning and digital metamaterials S Banerji, A Majumder, A Hamrick, R Menon, B Sensale-Rodriguez OSA Continuum 4 (2), 602-607, 2021 | 10 | 2021 |
| Ultra-compact design of power splitters via machine learning S Banerji, A Hamrick, A Majumder, R Menon, B Sensale-Rodriguez 2020 IEEE Photonics Conference (IPC), 1-2, 2020 | 7 | 2020 |
| Machine learning enables ultra-compact integrated photonics through silicon-nanopattern digital metamaterials S Banerji, A Majumder, A Hamrick, R Menon, B Sensale-Rodriguez arXiv preprint arXiv:2011.11754, 2020 | 2 | 2020 |
| Ultra-compact Integrated Photonic Devices Enabled by Digital Metamaterials W Jia, S Banerji, A Majumder, A Hamrick, R Menon, B Sensale-Rodriguez Laser Science, LTh4F. 1, 2021 | | 2021 |
| Designing Ultra-Compact Silicon T-junctions using Machine Learning S Banerji, A Hamrick, A Majumder, R Menon, BS Rodriguez CLEO: Science and Innovations, JTh2F. 22, 2020 | | 2020 |
