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Anders Johansson — most-cited papers & profile · AI for Science
← authors
·
overview
Anders Johansson
8
papers ·
122
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size
2023 · 44 citations
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials
2024 · 27 citations
Micron-scale heterogeneous catalysis with Bayesian force fields from first principles and active learning
2022 · 24 citations
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
2022 · 22 citations
Stability, mechanisms and kinetics of emergence of Au surface reconstructions using Bayesian force fields
2023 · 2 citations
Uncertainty-aware molecular dynamics from Bayesian active learning for Phase Transformations and Thermal Transport in SiC
2022 · 1 citations
Learning Interatomic Potentials at Multiple Scales
2023 · 1 citations
Phase discovery with active learning: Application to structural phase transitions in equiatomic NiTi
2024 · 1 citations
Top co-authors
Boris Kozinsky
· 7
Albert Musaelian
· 4
Cameron J. Owen
· 3
Jonathan Vandermause
· 3
Simon Batzner
· 3
Yu Xie
· 3
Lixin Sun
· 2
Lixin Sun
· 2
Andrea Cepellotti
· 1
Blake R. Duschatko
· 1
Boris Kozinsky and Nicola Molinari
· 1
Jarad A. Mason
· 1
Topics
Chemistry
Materials
Physics ML
Protein Science