Interpolating Nonadiabatic Molecular Dynamics Hamiltonian with Bidirectional Long Short-Term Memory Networks

Author:

Wang Bipeng1ORCID,Winkler Ludwig2,Wu Yifan3ORCID,Müller Klaus-Robert24567ORCID,Sauceda Huziel E.89ORCID,Prezhdo Oleg V.13ORCID

Affiliation:

1. Department of Chemical Engineering, University of Southern California, Los Angeles, California 90089, United States

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

3. Department of Chemistry, University of Southern California, Los Angeles, California 90089, United States

4. BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany

5. Department of Artificial Intelligence, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Korea

6. Max Planck Institute for Informatics, Stuhlsatzenhausweg, 66123 Saarbrücken, Germany

7. Google Deepmind, 10587 Berlin, Germany

8. BASLEARN, BASF-TU joint Lab, Technische Universität Berlin, 10587 Berlin, Germany

9. Departamento de Materia Condensada, Instituto de Física, Universidad Nacional Autónoma de México, Apartado Postal 20-346, 01000 México, D.F., México

Funder

Division of Chemistry

Bundesministerium f?r Bildung und Forschung

Direcci?n General de Asuntos del Personal Acad?mico, Universidad Nacional Aut?noma de M?xico

Ministry of Science and ICT, South Korea

Deutsche Forschungsgemeinschaft

Universidad Nacional Aut?noma de M?xico

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

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