| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 924 | 2022 |
| Demonstration of decentralized physics-driven learning S Dillavou, M Stern, AJ Liu, DJ Durian Physical Review Applied 18 (1), 014040, 2022 | 69 | 2022 |
| Nonmonotonic aging and memory in a frictional interface S Dillavou, SM Rubinstein Physical review letters 120 (22), 224101, 2018 | 64 | 2018 |
| Anatomic variation of depth‐dependent mechanical properties in neonatal bovine articular cartilage JL Silverberg, S Dillavou, L Bonassar, I Cohen Journal of Orthopaedic Research 31 (5), 686-691, 2013 | 48 | 2013 |
| Desynchronous learning in a physics-driven learning network JF Wycoff, S Dillavou, M Stern, AJ Liu, DJ Durian The Journal of Chemical Physics 156 (14), 2022 | 30 | 2022 |
| Physical learning beyond the quasistatic limit M Stern, S Dillavou, MZ Miskin, DJ Durian, AJ Liu Physical Review Research 4 (2), L022037, 2022 | 26 | 2022 |
| Shear controls frictional aging by erasing memory S Dillavou, SM Rubinstein Physical Review Letters 124 (8), 085502, 2020 | 15 | 2020 |
| Influences of microcontact shape on the state of a frictional interface T Pilvelait, S Dillavou, SM Rubinstein Physical Review Research 2 (1), 012056, 2020 | 13 | 2020 |
| The virtual frame technique: ultrafast imaging with any camera S Dillavou, SM Rubinstein, JM Kolinski Optics Express 27 (6), 8112-8120, 2019 | 11 | 2019 |
| Machine learning without a processor: Emergent learning in a nonlinear analog network S Dillavou, BD Beyer, M Stern, AJ Liu, MZ Miskin, DJ Durian Proceedings of the National Academy of Sciences 121 (28), e2319718121, 2024 | 9* | 2024 |
| Aqueous foams in microgravity, measuring bubble sizes M Pasquet, N Galvani, O Pitois, S Cohen-Addad, R Höhler, AT Chieco, ... Comptes Rendus. Mécanique 351 (S2), 139-161, 2023 | 9 | 2023 |
| Circuits that train themselves: decentralized, physics-driven learning S Dillavou, B Beyer, M Stern, MZ Miskin, AJ Liu, DJ Durian AI and Optical Data Sciences IV 12438, 115-117, 2023 | 8 | 2023 |
| Physical learning of power-efficient solutions M Stern, S Dillavou, D Jayaraman, DJ Durian, AJ Liu arXiv preprint arXiv:2310.10437, 2023 | 5 | 2023 |
| Spatters and spills: Spreading dynamics for partially wetting droplets SCL Durian, S Dillavou, K Markin, A Portales, BOT Maldonado, W Irvine, ... Physics of Fluids 34 (1), 2022 | 4 | 2022 |
| Training self-learning circuits for power-efficient solutions M Stern, S Dillavou, D Jayaraman, DJ Durian, AJ Liu APL Machine Learning 2 (1), 2024 | 3 | 2024 |
| Seismological stress drops for confined ruptures are invariant to normal stress W Steinhardt, S Dillavou, M Agajanian, SM Rubinstein, EE Brodsky Geophysical Research Letters 50 (9), e2022GL101366, 2023 | 3 | 2023 |
| Equation of motion for taut-line buzzers AJ Gerra, CC Jones, S Dillavou, JM Hanlan, J Radzio, PE Arratia, ... Physical Review Applied 22 (1), 014011, 2024 | 2 | 2024 |
| Beyond quality and quantity: Spatial distribution of contact encodes frictional strength S Dillavou, Y Bar-Sinai, MP Brenner, SM Rubinstein Physical Review E 106 (3), L033001, 2022 | 2 | 2022 |
| Air mediates the impact of a compliant hemisphere on a rigid smooth surface S Zheng, S Dillavou, JM Kolinski Soft Matter 17 (14), 3813-3819, 2021 | 2 | 2021 |
| Out of equilibrium learning dynamics in physical allosteric resistor networks M Stern, S Dillavou, MZ Miskin, DJ Durian, AJ Liu Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), 2021 | 1 | 2021 |
Douglas J. DurianMary Amanda Wood Professor of Physics, University of Pennsylvania在 physics.upenn.edu 的电子邮件经过验证
