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Comprehensive Study of Oxygen Vacancies on the Catalytic Performance of ZnO for CO/H2 Activation Using Machine Learning-Accelerated First-Principles Simulations. (2023)

First Author: Han Y

Attributed to: Support for the UKCP consortium funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acscatal.3c00658

PubMed Identifier: 37123602

Publication URI: http://europepmc.org/abstract/MED/37123602

Type: Journal Article/Review

Volume: 13

Parent Publication: ACS catalysis

Issue: 8

ISSN: 2155-5435