| How to validate machine-learned interatomic potentials JD Morrow, JLA Gardner, VL Deringer The Journal of chemical physics 158 (12), 2023 | 44 | 2023 |
| Robustness of local predictions in atomistic machine learning models S Chong, F Grasselli, C Ben Mahmoud, JD Morrow, VL Deringer, ... Journal of Chemical Theory and Computation 19 (22), 8020-8031, 2023 | 15 | 2023 |
| Indirect learning and physically guided validation of interatomic potential models JD Morrow, VL Deringer The Journal of Chemical Physics 157 (10), 2022 | 8 | 2022 |
| Machine-learned acceleration for molecular dynamics in CASTEP TK Stenczel, Z El-Machachi, G Liepuoniute, JD Morrow, AP Bartók, ... The Journal of Chemical Physics 159 (4), 2023 | 6 | 2023 |
| Understanding Defects in Amorphous Silicon with Million‐Atom Simulations and Machine Learning JD Morrow, C Ugwumadu, DA Drabold, SR Elliott, AL Goodwin, ... Angewandte Chemie, e202403842, 2024 | 5 | 2024 |
| Indirect Learning of Interatomic Potentials for Accelerated Materials Simulations JD Morrow, VL Deringer arXiv preprint arXiv:2111.11120, 2021 | 1* | 2021 |
Volker L. DeringerUniversity of Oxford在 chem.ox.ac.uk 的电子邮件经过验证
Volker L. DeringerUniversity of Oxford在 chem.ox.ac.uk 的电子邮件经过验证
John L.A. GardnerMachine Learning for Science, University of Oxford在 chem.ox.ac.uk 的电子邮件经过验证