%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 Comput. Mater. %K EXC2075 chemie kaestner kästner pn6 pn6-a1 stuttgart theochem theoretische %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 = {2023-07-28T16:50:10.000+0200}, 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/200d4f32cd33606a854d7340f00d60e34/kgugeler}, doi = {10.1038/s41524-023-01073-w}, interhash = {77490c81feaefdacd3f9a22e021dcbd6}, intrahash = {00d4f32cd33606a854d7340f00d60e34}, issn = {2057-3960}, journal = {Npj Comput. Mater.}, keywords = {EXC2075 chemie kaestner kästner pn6 pn6-a1 stuttgart theochem theoretische}, pages = 129, timestamp = {2023-07-28T17:12:09.000+0200}, 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 }