Article (Scientific journals)
Quantum-chemical insights from deep tensor neural networks
Schütt, Kristof T.; Arbabzadah, Farhad; Chmiela, Stefan et al.
2017In Nature Communications, 8, p. 13890
Peer reviewed
 

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Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
Schütt, Kristof T.
Arbabzadah, Farhad
Chmiela, Stefan
Müller, Klaus R.
Tkatchenko, Alexandre ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Physics and Materials Science Research Unit
External co-authors :
yes
Language :
English
Title :
Quantum-chemical insights from deep tensor neural networks
Publication date :
2017
Journal title :
Nature Communications
Publisher :
Springer Nature
Volume :
8
Pages :
13890
Peer reviewed :
Peer reviewed
Focus Area :
Physics and Materials Science
Available on ORBilu :
since 13 March 2017

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