%0 Journal Article %1 denzel2018gaussian %A Denzel, Alexander %A Kästner, Johannes %D 2018 %I AIP %J Journal of Chemical Physics %K PN3-4 PN3 EXC2075 selected %N 9 %P 094114 %R 10.1063/1.5017103 %T Gaussian process regression for geometry optimization %V 148

@article{denzel2018gaussian, added-at = {2024-03-26T11:56:40.000+0100}, affiliation = {Kastner, J (Reprint Author), Univ Stuttgart, Inst Theoret Chem, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Denzel, Alexander; Kaestner, Johannes, Univ Stuttgart, Inst Theoret Chem, Pfaffenwaldring 55, D-70569 Stuttgart, Germany.}, author = {Denzel, Alexander and Kästner, Johannes}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b72ce0865f42bdc564a5c460849f3f38/exc2075}, doi = {10.1063/1.5017103}, interhash = {997d6392ac915ae72c2b4d047d48f231}, intrahash = {b72ce0865f42bdc564a5c460849f3f38}, issn = {{0021-9606} and {1089-7690}}, journal = {Journal of Chemical Physics}, keywords = {PN3-4 PN3 EXC2075 selected}, language = {eng}, number = 9, orcid-numbers = {Kastner, Johannes/0000-0001-6178-7669 Denzel, Alexander/0000-0001-6810-6248}, pages = 094114, publisher = {AIP}, research-areas = {Chemistry; Physics}, timestamp = {2024-03-26T11:56:40.000+0100}, title = {Gaussian process regression for geometry optimization}, unique-id = {ISI:000456945600001}, volume = 148, year = 2018 }