Comprehensive Study of Oxygen Vacancies on the Catalytic Performance of ZnO for CO/H 2 Activation Using Machine Learning-Accelerated First-Principles Simulations (2023)
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
Publication URI: http://dx.doi.org/10.1021/acscatal.3c00658
Type: Journal Article/Review
Parent Publication: ACS Catalysis
Issue: 8
ISSN: 2155-5435