Energy- and Local-Gradient-Based Neural Network Method for Accurately Describing Long-Range Interaction: Application to the H<sub>2</sub> + CO<sup>+</sup> Reaction-Reference-Cited by-同舟云学术

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Energy- and Local-Gradient-Based Neural Network Method for Accurately Describing Long-Range Interaction: Application to the H₂ + CO⁺ Reaction

Published:2022-01-06 Issue:2 Volume:126 Page:352-363
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Xiang Haipan¹²,Tian Li¹²,Li Yong¹,Song Hongwei²^ORCID

Affiliation:

1. College of Physical Science and Technology, Huazhong Normal University, Wuhan 430079, China

2. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.1c09719

Reference60 articles.

1. Interstellar molecules

2. The ion chemistry of interstellar clouds

3. Ion-Molecule Reactions

4. Charge-exchange processes in collisions ofH+,H2+,H3+,He+, andHe2+ions with CO andCO2molecules at energies below 1000 eV

5. Negative Ions in Space

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1. Ultrafast photoinduced C-H bond formation from two small inorganic molecules;Nature Communications;2024-04-02

2. Ab initio molecular dynamics benchmarking study of machine-learned potential energy surfaces for the HBr+ + HCl reaction;Carbon Trends;2023-06

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