The full‐dimensional potential energy surface of <scp> He <sub>2</sub> H </scp> <sup>−</sup> using fundamental invariant neural network method-Reference-Cited by-同舟云学术

The full‐dimensional potential energy surface of He ₂ H ⁻ using fundamental invariant neural network method

Published:2022-07-29 Issue:22 Volume:122 Page:
ISSN:0020-7608
Container-title:International Journal of Quantum Chemistry
language:en
Short-container-title:Int J of Quantum Chemistry

Author:

Bai Yuyao¹,Fu Yan‐Lin²,Wang Gao‐Ren¹,Fu Bina²,Han Yong‐Chang¹³^ORCID

Affiliation:

1. Department of Physics Dalian University of Technology Dalian China

2. State Key Laboratory of Molecular Reaction Dynamics, Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China

3. DUT‐BSU Joint Institute Dalian University of Technology Dalian China

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Wiley

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qua.26988

Reference30 articles.

1. Structure and dynamics of quantum clusters

2. Astrophysical detection of the helium hydride ion HeH+

3. The weakest bond: Experimental observation of helium dimer

4. Convergence to the configuration‐set limit in multireference configuration‐interaction calculations on the He dimer

5. Self-consistent-field potential energies for the ground negative-ion and neutral states of HeH, ArH, and ArCl

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