| Origins of structural and electronic transitions in disordered silicon VL Deringer, N Bernstein, G Csányi, C Ben Mahmoud, M Ceriotti, ... Nature 589 (7840), 59-64, 2021 | 270 | 2021 |
| Learning the electronic density of states in condensed matter C Ben Mahmoud, A Anelli, G Csányi, M Ceriotti Physical Review B 102 (23), 235130, 2020 | 98 | 2020 |
| Finite-temperature materials modeling from the quantum nuclei to the hot electron regime N Lopanitsyna, C Ben Mahmoud, M Ceriotti Physical Review Materials 5 (4), 043802, 2021 | 23 | 2021 |
| 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 | 16 | 2023 |
| Predicting hot-electron free energies from ground-state data C Ben Mahmoud, F Grasselli, M Ceriotti Physical Review B 106 (12), L121116, 2022 | 8 | 2022 |
| Data as the next challenge in atomistic machine learning C Ben Mahmoud, JLA Gardner, VL Deringer Nature Computational Science, 1-4, 2024 | | 2024 |
| Machine-learning the electronic density of states: electronic properties without quantum mechanics C Ben Mahmoud EPFL, 2023 | | 2023 |
| Predicting hot-electron free energies from ground-state data F Grasselli, C Ben Mahmoud, M Ceriotti APS March Meeting Abstracts 2023, N59. 007, 2023 | | 2023 |
Michele CeriottiAssociate Professor at EPFL, Institute of Materials在 epfl.ch 的电子邮件经过验证
