Machine learning phase space quantum dynamics approaches-Reference-Cited by-同舟云学术

Machine learning phase space quantum dynamics approaches

Published:2021-05-14 Issue:18 Volume:154 Page:184104
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Liu Xinzijian¹^ORCID,Zhang Linfeng²^ORCID,Liu Jian¹^ORCID

Affiliation:

1. Beijing National Laboratory for Molecular Sciences, Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China

2. Beijing Institute of Big Data Research, Beijing 100871, China

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People’s Republic of China

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0046689

Reference104 articles.

1. Quantum dynamics of complex molecular systems

2. Including quantum effects in the dynamics of complex (i.e., large) molecular systems

3. FORWARD-BACKWARD SEMICLASSICAL SIMULATION OF DYNAMICAL PROCESSES IN LIQUIDS

4. Path-Integral Centroid Methods in Quantum Statistical Mechanics and Dynamics

5. Ring-Polymer Molecular Dynamics: Quantum Effects in Chemical Dynamics from Classical Trajectories in an Extended Phase Space

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