A Deep‐Learning Approach to the Dynamics of Landau–Zenner Transitions-Reference-Cited by-同舟云学术

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A Deep‐Learning Approach to the Dynamics of Landau–Zenner Transitions

Published:2021-05-07 Issue:7 Volume:4 Page:2100083
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Adv. Theory Simul.

Author:

Gao Linliang¹²,Sun Kewei¹,Zheng Huiru³,Zhao Yang²^ORCID

Affiliation:

1. School of Science Hangzhou Dianzi University Hangzhou 310018 China

2. Division of Materials Science Nanyang Technological University Singapore 639798 Singapore

3. School of Computing Ulster University at Jordanstown Newtownabbey, Co. Antrim BT37 0QB UK

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100083

Reference39 articles.

1. Non-adiabatic crossing of energy levels

2. The Landau-Zener effect in nuclear molecules

3. Pathways of S1 decay in phenol, indoles, and water complexes of phenol and indole in a free jet expansion

4. Accuracy of trajectory surface-hopping methods: Test for a two-dimensional model of the photodissociation of phenol

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