Quantum-chemical insights from deep tensor neural networks

Reference : Quantum-chemical insights from deep tensor neural networks


	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
	Focus Areas :	Physics and Materials Science
	To cite this reference:	http://hdl.handle.net/10993/30145

Title :	Quantum-chemical insights from deep tensor neural networks
Language :	English
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]
Publication date :	2017
Journal title :	Nature Communications
Publisher :	Springer Nature
Volume :	8
Pages :	13890
Peer reviewed :	Yes
Audience :	International
Permalink :	http://hdl.handle.net/10993/30145
DOI :	10.1038/ncomms13890
Other URL :	http://dx.doi.org/10.1038/ncomms13890

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