Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities-Reference-Cited by-同舟云学术

Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities

Published:2023-12-04 Issue:50 Volume:127 Page:24168-24182
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Stark Wojciech G.¹^ORCID,Westermayr Julia¹^ORCID,Douglas-Gallardo Oscar A.¹^ORCID,Gardner James¹^ORCID,Habershon Scott¹^ORCID,Maurer Reinhard J.¹²^ORCID

Affiliation:

1. Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K.

2. Department of Physics, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K.

Funder

Medical Research Council

Leverhulme Trust

Austrian Science Fund

Publisher

American Chemical Society (ACS)

Subject

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

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.3c06648

Reference113 articles.

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4. Reactions at Surfaces: From Atoms to Complexity (Nobel Lecture)

5. Current and future role of Haber–Bosch ammonia in a carbon-free energy landscape

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