Article (Scientific journals)
Machine Learning Force Fields: Recent Advances and Remaining Challenges
Poltavskyi, Igor; Tkatchenko, Alexandre
2021In Journal of Physical Chemistry Letters
Peer Reviewed verified by ORBi
 

Files


Full Text
178-MLFF-Perspective-JPCL-2021.pdf
Publisher postprint (8.08 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Physics
Author, co-author :
Poltavskyi, Igor ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
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 :
Machine Learning Force Fields: Recent Advances and Remaining Challenges
Publication date :
09 July 2021
Journal title :
Journal of Physical Chemistry Letters
ISSN :
1948-7185
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
113 (2 by Unilu)
Number of downloads
640 (20 by Unilu)

Scopus citations®
 
52
Scopus citations®
without self-citations
49
OpenCitations
 
18
WoS citations
 
46

Bibliography


Similar publications



Contact ORBilu