Article (Scientific journals)
Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields
Sauceda, Huziel E; Gastegger, Michael; Chmiela, Stefan et al.
2020In Journal of Chemical Physics
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Disciplines :
Physics
Author, co-author :
Sauceda, Huziel E
Gastegger, Michael
Chmiela, Stefan
Müller, Klaus-Robert
Tkatchenko, Alexandre ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
External co-authors :
yes
Language :
English
Title :
Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields
Publication date :
2020
Journal title :
Journal of Chemical Physics
ISSN :
1089-7690
Publisher :
American Institute of Physics, New York, United States - New York
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Physics and Materials Science
Available on ORBilu :
since 28 December 2020

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