| Machine learning electron correlation in a disordered medium J Ma, P Zhang, Y Tan, AW Ghosh, GW Chern Physical Review B 99 (8), 085118, 2019 | 21 | 2019 |
| Arrested phase separation in double-exchange models: Large-scale simulation enabled by machine learning P Zhang, GW Chern Physical Review Letters 127 (14), 146401, 2021 | 18 | 2021 |
| Anomalous phase separation in a correlated electron system: Machine-learning–enabled large-scale kinetic Monte Carlo simulations S Zhang, P Zhang, GW Chern Proceedings of the National Academy of Sciences 119 (18), e2119957119, 2022 | 10* | 2022 |
| Machine learning dynamics of phase separation in correlated electron magnets P Zhang, P Saha, GW Chern arXiv preprint arXiv:2006.04205, 2020 | 10 | 2020 |
| Machine learning predictions for local electronic properties of disordered correlated electron systems YH Liu, S Zhang, P Zhang, TK Lee, GW Chern Physical Review B 106 (3), 035131, 2022 | 6 | 2022 |
| Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems P Zhang, S Zhang, GW Chern arXiv preprint arXiv:2201.00798, 2022 | 4 | 2022 |
| Machine learning nonequilibrium electron forces for spin dynamics of itinerant magnets P Zhang, GW Chern npj Computational Materials 9 (1), 32, 2023 | 3 | 2023 |
Yaohua TanUniversity of VirginiaVerified email at purdue.edu
Yaohua TanUniversity of VirginiaVerified email at purdue.edu