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

@article{denzel2018gaussian, added-at = {2023-08-31T16:22:52.000+0200}, 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/2581a21d78ab728d8ebc21835127dac7d/puma-wartung}, doi = {10.1063/1.5017103}, interhash = {997d6392ac915ae72c2b4d047d48f231}, intrahash = {581a21d78ab728d8ebc21835127dac7d}, issn = {{0021-9606} and {1089-7690}}, journal = {Journal of chemical physics}, keywords = {}, 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 = {2023-08-31T14:22:52.000+0200}, title = {Gaussian process regression for geometry optimization}, unique-id = {ISI:000456945600001}, volume = 148, year = 2018 }