%0 Journal Article %1 zaverkin2024uncertaintybiased %A Zaverkin, Viktor %A Holzmüller, David %A Christiansen, Henrik %A Errica, Federico %A Alesiani, Francesco %A Takamoto, Makoto %A Niepert, Mathias %A Kästner, Johannes %D 2024 %I Nature Publishing Group %J npj computational materials %K %N 1 %P 83 %R 10.1038/s41524-024-01254-1 %T Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials %V 10

@article{zaverkin2024uncertaintybiased, added-at = {2024-10-31T11:46:20.000+0100}, affiliation = {Zaverkin, V (Corresponding Author), NEC Labs Europe GmbH, Kurfursten Anlage 36, D-69115 Heidelberg, Germany. Zaverkin, V (Corresponding Author), Univ Stuttgart, Inst Theoret Chem, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Zaverkin, Viktor; Christiansen, Henrik; Errica, Federico; Alesiani, Francesco; Takamoto, Makoto; Niepert, Mathias, NEC Labs Europe GmbH, Kurfursten Anlage 36, D-69115 Heidelberg, Germany. Zaverkin, Viktor; Kaestner, Johannes, Univ Stuttgart, Inst Theoret Chem, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Holzmueller, David, Univ Stuttgart, Inst Stochast \& Applicat, Pfaffenwaldring 57, D-70569 Stuttgart, Germany. Holzmueller, David, INRIA Paris, SIERRA, 2 Rue Simone Iff, F-75012 Paris, France. Niepert, Mathias, Univ Stuttgart, Inst Artificial Intelligence, Univ Str 32, D-70569 Stuttgart, Germany.}, author = {Zaverkin, Viktor and Holzmüller, David and Christiansen, Henrik and Errica, Federico and Alesiani, Francesco and Takamoto, Makoto and Niepert, Mathias and Kästner, Johannes}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/218b89a75c9f020badde2613c61054711/unibiblio}, doi = {10.1038/s41524-024-01254-1}, interhash = {2de849013d296335d6ed8fecf19872ad}, intrahash = {18b89a75c9f020badde2613c61054711}, issn = {2057-3960}, journal = {npj computational materials}, keywords = {}, language = {eng}, number = 1, pages = 83, publisher = {Nature Publishing Group}, research-areas = {Chemistry; Materials Science}, timestamp = {2024-10-31T10:46:20.000+0100}, title = {Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials}, unique-id = {WOS:001209824100001}, volume = 10, year = 2024 }