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Article (Scientific journals)
Combining state-of-the-art quantum chemistry and machine learning make gold standard potential energy surfaces accessible for medium-sized molecules
NANDI, Apurba
;
Nagy, Péter R.
2024
•
In
Artificial Intelligence Chemistry, 2
(1), p. 100036
Peer reviewed
Permalink
https://hdl.handle.net/10993/64778
DOI
10.1016/j.aichem.2023.100036
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Disciplines :
Chemistry
Author, co-author :
NANDI, Apurba
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
Nagy, Péter R.
External co-authors :
yes
Language :
English
Title :
Combining state-of-the-art quantum chemistry and machine learning make gold standard potential energy surfaces accessible for medium-sized molecules
Publication date :
June 2024
Journal title :
Artificial Intelligence Chemistry
ISSN :
2949-7477
Publisher :
Elsevier BV
Volume :
2
Issue :
1
Pages :
100036
Peer reviewed :
Peer reviewed
Additional URL :
https://api.elsevier.com/content/article/PII:S2949747723000362?httpAccept=text/xml
Funders :
European Research Council
National Research Development and Innovation Office
Available on ORBilu :
since 22 April 2025
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