| Learning local equivariant representations for large-scale atomistic dynamics A Musaelian, S Batzner, A Johansson, L Sun, CJ Owen, M Kornbluth, ... Nature Communications 14 (1), 579, 2023 | 411 | 2023 |
| Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size A Musaelian, A Johansson, S Batzner, B Kozinsky arXiv preprint arXiv:2304.10061, 2023 | 47* | 2023 |
| Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport in SiC Y Xie, J Vandermause, S Ramakers, NH Protik, A Johansson, B Kozinsky npj Computational Materials 9 (1), 36, 2023 | 42 | 2023 |
| Phoebe: a high-performance framework for solving phonon and electron Boltzmann transport equations A Cepellotti, J Coulter, A Johansson, NS Fedorova, B Kozinsky Journal of Physics: Materials 5 (3), 035003, 2022 | 33 | 2022 |
| Micron-scale heterogeneous catalysis with Bayesian force fields from first principles and active learning A Johansson, Y Xie, CJ Owen, JS Lim, L Sun, J Vandermause, ... arXiv preprint arXiv:2204.12573, 2022 | 16 | 2022 |
| Stability, mechanisms and kinetics of emergence of Au surface reconstructions using Bayesian force fields CJ Owen, Y Xie, A Johansson, L Sun, B Kozinsky arXiv preprint arXiv:2308.07311, 2023 | 4 | 2023 |
| Unified Differentiable Learning of the Electric Enthalpy and Dielectric Properties with Exact Physical Constraints S Falletta, A Cepellotti, CW Tan, A Johansson, A Musaelian, CJ Owen, ... arXiv preprint arXiv:2403.17207, 2024 | 3 | 2024 |
| Unbiased Atomistic Predictions of Crystal Dislocation Dynamics using Bayesian Force Fields CJ Owen, AD Naghdi, A Johansson, D Massa, S Papanikolaou, ... arXiv preprint arXiv:2401.04359, 2024 | 2 | 2024 |
| Learning Interatomic Potentials at Multiple Scales X Fu, A Musaelian, A Johansson, T Jaakkola, B Kozinsky arXiv preprint arXiv:2310.13756, 2023 | 2 | 2023 |
| Phase discovery with active learning: Application to structural phase transitions in equiatomic NiTi J Vandermause, A Johansson, Y Miao, JJ Vlassak, B Kozinsky arXiv preprint arXiv:2401.05568, 2024 | 1 | 2024 |
| Atomistic Modelling of Creep and Flow in Silica-Water Systems A Johansson | | 2019 |
Boris KozinskyHarvard University, Bosch ResearchVerified email at seas.harvard.edu
