%0 Journal Article %1 bor21 %A Born, Daniel %A Kästner, Johannes %D 2021 %J J. Chem. Theory Comput. %K myown %N 9 %P 5955-5967 %R 10.1021/acs.jctc.1c00517 %T Geometry Optimization in Internal Coordinates Based on Gaussian Process Regression: Comparison of Two Approaches %U https://doi.org/10.1021/acs.jctc.1c00517 %V 17

@article{bor21, added-at = {2023-10-03T11:26:29.000+0200}, author = {Born, Daniel and Kästner, Johannes}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/21d7d63ac48bbe32d273550a20899340b/jkaestner}, doi = {10.1021/acs.jctc.1c00517}, interhash = {634d44e57dbba9053fe3d83d38f0e50d}, intrahash = {1d7d63ac48bbe32d273550a20899340b}, journal = {J. Chem. Theory Comput.}, keywords = {myown}, number = 9, pages = {5955-5967}, timestamp = {2023-10-03T11:26:29.000+0200}, title = {Geometry Optimization in Internal Coordinates Based on Gaussian Process Regression: Comparison of Two Approaches}, url = {https://doi.org/10.1021/acs.jctc.1c00517}, volume = 17, year = 2021 }