High-Dimensional Atomistic Neural Network Potentials for Molecule–Surface Interactions: HCl Scattering from Au(111)-Reference-Cited by-同舟云学术

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High-Dimensional Atomistic Neural Network Potentials for Molecule–Surface Interactions: HCl Scattering from Au(111)

Published:2017-01-23 Issue:3 Volume:8 Page:666-672
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Kolb Brian¹²,Luo Xuan³,Zhou Xueyao³,Jiang Bin³^ORCID,Guo Hua¹^ORCID

Affiliation:

1. Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States

2. Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

3. Department of Chemical Physics, University of Science and Technology of China, Hefei, Anhui 230026, China

Funder

Division of Chemistry

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.6b02994

Reference67 articles.

1. Gas surface interactions studied with state-prepared molecules

2. Frontiers in Surface Scattering Simulations

3. State-resolved probes of methane dissociation dynamics

4. Quantum state resolved gas–surface reaction dynamics experiments: a tutorial review

5. Reactions at surfaces studied by ab initio dynamics calculations

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