Machine Learning Force Fields

Reference : Machine Learning Force Fields


	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Physics
	To cite this reference:	http://hdl.handle.net/10993/49416

Title :	Machine Learning Force Fields
Language :	English
Author, co-author :	Oliver T. Unke []
	Stefan Chmiela []
	Huziel E. Sauceda []
	Michael Gastegger []
	Poltavskyi, Igor [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
	Kristof T. Schütt []
	Tkatchenko, Alexandre [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
	Klaus-Robert Müller []
Publication date :	11-Mar-2021
Journal title :	Chemical Reviews
Publisher :	American Chemical Society
Peer reviewed :	Yes
ISSN :	0009-2665
e-ISSN :	1520-6890
City :	Washington
Country :	DC
Permalink :	http://hdl.handle.net/10993/49416
DOI :	10.1021/acs.chemrev.0c01111

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