SchNet – A deep learning architecture for molecules and materials-Reference-Cited by-同舟云学术

SchNet – A deep learning architecture for molecules and materials

Author:

Schütt K. T.¹^ORCID,Sauceda H. E.²,Kindermans P.-J.¹,Tkatchenko A.³,Müller K.-R.¹⁴⁵

Affiliation:

1. Machine Learning Group, Technische Universität Berlin, 10587 Berlin, Germany

2. Fritz-Haber-Institut der Max-Planck-Gesellschaft, 14195 Berlin, Germany

3. Physics and Materials Science Research Unit, University of Luxembourg, L-1511 Luxembourg, Luxembourg

4. Max-Planck-Institut für Informatik, Saarbrücken, Germany

5. Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, South Korea

Funder

Deutsche Forschungsgemeinschaft

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Bundesministerium für Bildung und Forschung

H2020 European Research Council

H2020 Marie Skłodowska-Curie Actions

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

Reference58 articles.

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