Symmetry-Adapted High Dimensional Neural Network Representation of Electronic Friction Tensor of Adsorbates on Metals-Reference-Cited by-同舟云学术

Symmetry-Adapted High Dimensional Neural Network Representation of Electronic Friction Tensor of Adsorbates on Metals

Published:2019-11-25 Issue:1 Volume:124 Page:186-195
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Zhang Yaolong¹,Maurer Reinhard J.²,Jiang Bin¹^ORCID

Affiliation:

1. Hefei National Laboratory for Physical Science at the Microscale, Department of Chemical Physics, Key Laboratory of Surface and Interface Chemistry and Energy Catalysis of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei, Anhui 230026, China

2. Department of Chemistry and Centre for Scientific Computing, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, U.K.

Funder

Medical Research Council

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

National Natural Science Foundation of China

Anhui Initiative in Quantum Information Technologies

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.9b09965

Reference71 articles.

1. Energy transfer and chemical dynamics at solid surfaces: The special role of charge transfer

2. Energy dissipation at metal surfaces

3. Perspective: Machine learning potentials for atomistic simulations

4. Ab InitioMolecular Dynamics Study of Hot Atom Dynamics after Dissociative Adsorption ofH2on Pd(100)

5. N2 dissociation on W(110): An ab initio molecular dynamics study on the effect of phonons

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