Article (Scientific journals)
Machine Learning Force Fields
Oliver T. Unke; Stefan Chmiela; Huziel E. Sauceda et al.
2021In Chemical Reviews
Peer Reviewed verified by ORBi
 

Files


Full Text
acs.chemrev.0c01111.pdf
Publisher postprint (12.24 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Physics
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
External co-authors :
yes
Language :
English
Title :
Machine Learning Force Fields
Publication date :
11 March 2021
Journal title :
Chemical Reviews
ISSN :
1520-6890
Publisher :
American Chemical Society, Washington, United States - District of Columbia
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 10 January 2022

Statistics


Number of views
159 (4 by Unilu)
Number of downloads
1107 (6 by Unilu)

Scopus citations®
 
469
Scopus citations®
without self-citations
438
OpenCitations
 
219
WoS citations
 
447

Bibliography


Similar publications



Contact ORBilu