| Deep physical neural networks trained with backpropagation LG Wright, T Onodera, MM Stein, T Wang, DT Schachter, Z Hu, ... Nature 601 (7894), 549-555, 2022 | 610 | 2022 |
| Image sensing with multilayer nonlinear optical neural networks T Wang, MM Sohoni, LG Wright, MM Stein, SY Ma, T Onodera, ... Nature Photonics 17 (5), 408-415, 2023 | 157 | 2023 |
| Direct measurement of the impact of teaching experimentation in physics labs EM Smith, MM Stein, C Walsh, NG Holmes Physical Review X 10 (1), 011029, 2020 | 86 | 2020 |
| How expectations of confirmation influence students’ experimentation decisions in introductory labs EM Smith, MM Stein, NG Holmes Physical Review Physics Education Research 16 (1), 010113, 2020 | 41 | 2020 |
| Exploring the effects of omitted variable bias in physics education research C Walsh, MM Stein, R Tapping, EM Smith, NG Holmes Physical Review Physics Education Research 17 (1), 010119, 2021 | 24 | 2021 |
| Confirming what we know: Understanding questionable research practices in intro physics labs MM Stein, EM Smith, NG Holmes arXiv preprint arXiv:1807.04716, 2018 | 19 | 2018 |
| Student interpretations of uncertainty in classical and quantum mechanics experiments MM Stein, C White, G Passante, NG Holmes 2019 Physics Education Research Conference Proceedings, 2020 | 12 | 2020 |
| Surprise! Shifting students away from model-verifying frames in physics labs EM Smith, MM Stein, NG Holmes arXiv preprint arXiv:1807.04710, 2018 | 11 | 2018 |
| Sense of agency, gender, and students' perception in open-ended physics labs ZY Kalender, M Stein, NG Holmes arXiv preprint arXiv:2007.07427, 2020 | 10 | 2020 |
| Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation T Onodera, MM Stein, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ... arXiv preprint arXiv:2402.17750, 2024 | 6 | 2024 |
| Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems (2021) LG Wright, T Onodera, MM Stein, T Wang, DT Schachter, Z Hu, ... arXiv preprint arXiv:2104.13386, 0 | 3 | |
| Hardware-efficient, large-scale reconfigurable optical neural network (ONN) with backpropagation F Xia, Z Wang, L Wright, T Onodera, M Stein, J Hu, P McMahon, S Gigan AI and Optical Data Sciences IV 12438, 282-283, 2023 | 2 | 2023 |
| Deep nonlinear optical neural networks using physics-aware training LG Wright, T Onodera, MM Stein, T Wang, DT Schachter, Z Hu, ... CLEO: QELS_Fundamental Science, FF1A. 4, 2021 | 2 | 2021 |
| Questionable research practices in introductory physics labs MM Stein, EM Smith, NG Holmes Bulletin of the American Physical Society 65, 2020 | 1 | 2020 |
| A fully programmable two-dimensional photonic chip for machine learning T Onodera, MM Stein, BA Ash, MM Sohoni, MJ Bosch, R Yanagimoto, ... Photonic Computing: From Materials and Devices to Systems and Applications …, 2024 | | 2024 |
| Arbitrarily programmable wave propagation on a photonic chip MM Stein, T Onodera, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ... Machine Learning in Photonics 13017, 96-99, 2024 | | 2024 |
| Physics aware training for deep physical neural networks LG Wright, T Onodera, PL McMahon, M Stein US Patent App. 18/287,808, 2024 | | 2024 |
| A fully programmable on-chip planar waveguide for machine learning MM Stein, T Onodera, BA Ash, MM Sohoni, M Bosch, R Yanagimoto, ... CLEO: Science and Innovations, SF2M. 1, 2024 | | 2024 |
| Machine learning with complex wave propagation in inverse-designed photonic device T Onodera, M Stein, B Ash, L Wright, P McMahon AI and Optical Data Sciences V, PC1290303, 2024 | | 2024 |
| Multi-purpose Image Sensors with Nonlinear Optical Neural Networks T Wang, MM Sohoni, LG Wright, MM Stein, SY Ma, T Onodera, ... Laser Science, FW5A. 2, 2023 | | 2023 |
Logan G. WrightYale UniversityZweryfikowany adres z yale.edu