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SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Schütt, Kristof T.; Kindermans, P. J.; Sauceda, Huziel E. et al.
2017In 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Schütt, Kristof T.
Kindermans, P. J.
Sauceda, Huziel E.
Chmiela, Stefan
Tkatchenko, Alexandre ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Physics and Materials Science Research Unit
Müller, Klaus R.
External co-authors :
yes
Language :
English
Title :
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Publication date :
December 2017
Event name :
31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA
Event date :
05-12-2017
Audience :
International
Main work title :
31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA
Pages :
1-11
Peer reviewed :
Peer reviewed
Focus Area :
Physics and Materials Science
Computational Sciences
Available on ORBilu :
since 03 February 2018

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