%0 Journal Article %1 gubaev2023performance %A Gubaev, Konstantin %A Zaverkin, Viktor %A Srinivasan, Prashanth %A Duff, Andrew Ian %A Kästner, Johannes %A Grabowski, Blazej Tadeusz %D 2023 %I Nature Publishing Group %J npj computational materials %K %N 1 %P 129 %R 10.1038/s41524-023-01073-w %T Performance of two complementary machine-learned potentials in modelling chemically complex systems %V 9

@article{gubaev2023performance, added-at = {2024-04-09T16:20:47.000+0200}, affiliation = {Gubaev, K (Corresponding Author), Univ Stuttgart, Inst Mat Sci, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Zaverkin, V (Corresponding Author), Univ Stuttgart, Inst Theoret Chem, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Zaverkin, V (Corresponding Author), NEC Labs Europe GmbH, Kurfursten Anlage 36, D-69115 Heidelberg, Germany. Gubaev, Konstantin; Srinivasan, Prashanth; Grabowski, Blazej, Univ Stuttgart, Inst Mat Sci, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Zaverkin, Viktor; Kaestner, Johannes, Univ Stuttgart, Inst Theoret Chem, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Duff, Andrew Ian, STFC Daresbury Lab, Sci Comp Dept, Warrington WA4 4AD, England. Zaverkin, Viktor, NEC Labs Europe GmbH, Kurfursten Anlage 36, D-69115 Heidelberg, Germany.}, author = {Gubaev, Konstantin and Zaverkin, Viktor and Srinivasan, Prashanth and Duff, Andrew Ian and Kästner, Johannes and Grabowski, Blazej Tadeusz}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2953de4213137b7f923527a495a319466/unibiblio}, doi = {10.1038/s41524-023-01073-w}, interhash = {ca2bbecfd737e20ee3705e8a99617472}, intrahash = {953de4213137b7f923527a495a319466}, issn = {2057-3960}, journal = {npj computational materials}, keywords = {}, language = {eng}, number = 1, orcid-numbers = {Grabowski, Blazej/0000-0003-4281-5665}, pages = 129, publisher = {Nature Publishing Group}, research-areas = {Chemistry; Materials Science}, researcherid-numbers = {Grabowski, Blazej/D-8430-2012}, timestamp = {2024-04-09T14:20:47.000+0200}, title = {Performance of two complementary machine-learned potentials in modelling chemically complex systems}, unique-id = {WOS:001035566200001}, volume = 9, year = 2023 }