%0 Journal Article %1 gub23 %A Gubaev, Konstantin %A Zaverkin, Viktor %A Srinivasan, Prashanth %A Duff, Andrew Ian %A Kästner, Johannes %A Grabowski, Blazej %D 2023 %J NPJ Computational Materials %K EXC2075 PN2 PN2-3(1) PN2-3A PN3 PN3-4 PN6 PN6-6 PN6A-1 selected %P 129 %R 10.1038/s41524-023-01073-w %T Performance of two complementary machine-learned potentials in modelling chemically complex systems %U http://dx.doi.org/10.1038/s41524-023-01073-w %V 9

@article{gub23, added-at = {2024-03-26T11:56:39.000+0100}, author = {Gubaev, Konstantin and Zaverkin, Viktor and Srinivasan, Prashanth and Duff, Andrew Ian and K{\"a}stner, Johannes and Grabowski, Blazej}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f95e9ef8276d37fff94eac07fb279db2/exc2075}, doi = {10.1038/s41524-023-01073-w}, interhash = {77490c81feaefdacd3f9a22e021dcbd6}, intrahash = {f95e9ef8276d37fff94eac07fb279db2}, issn = {2057-3960}, journal = {NPJ Computational Materials}, keywords = {EXC2075 PN2 PN2-3(1) PN2-3A PN3 PN3-4 PN6 PN6-6 PN6A-1 selected}, pages = 129, timestamp = {2024-03-27T15:30:49.000+0100}, title = {Performance of two complementary machine-learned potentials in modelling chemically complex systems}, url = {http://dx.doi.org/10.1038/s41524-023-01073-w}, volume = 9, year = 2023 }