Anders Johansson
Anders Johansson
PhD student
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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
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
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
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
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
Learning Interatomic Potentials at Multiple Scales
X Fu, A Musaelian, A Johansson, T Jaakkola, B Kozinsky
arXiv preprint arXiv:2310.13756, 2023
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
Atomistic Modelling of Creep and Flow in Silica-Water Systems
A Johansson
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Articles 1–8