%0 Journal Article %1 zav23 %A Zaverkin, Viktor %A Holzmüller, David %A Bonfirraro, Luca %A Kästner, Johannes %D 2023 %J Phys. Chem. Chem. Phys. %K chemie kaestner kästner pn6 theoretische EXC2075 stuttgart from:danielborn theochem %N 7 %P 5383-5396 %R 10.1039/D₂CP05793J %T Transfer learning for chemically accurate interatomic neural network potentials %V 25

@article{zav23, added-at = {2023-03-02T14:22:36.000+0100}, author = {Zaverkin, Viktor and Holzm\"uller, David and Bonfirraro, Luca and K\"astner, Johannes}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f7d9c2a456af04604f87eabe2a68f42b/theochem}, doi = {10.1039/D₂CP05793J}, interhash = {de1446de6318057c421754a4d357ae1f}, intrahash = {f7d9c2a456af04604f87eabe2a68f42b}, journal = {Phys. Chem. Chem. Phys.}, keywords = {chemie kaestner kästner pn6 theoretische EXC2075 stuttgart from:danielborn theochem}, number = 7, pages = {5383-5396}, timestamp = {2023-03-02T14:22:36.000+0100}, title = {Transfer learning for chemically accurate interatomic neural network potentials}, volume = 25, year = 2023 }