Reference : Molecular force fields with gradient-domain machine learning (GDML): Comparison and s...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Physics
Physics and Materials Science
http://hdl.handle.net/10993/45254
Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields
English
Sauceda, Huziel E []
Gastegger, Michael []
Chmiela, Stefan []
Müller, Klaus-Robert []
Tkatchenko, Alexandre mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
2020
Journal of Chemical Physics
American Institute of Physics
Yes (verified by ORBilu)
0021-9606
1089-7690
New York
NY
http://hdl.handle.net/10993/45254

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