📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Unravelling the Impact of Metal Dopants and Oxygen Vacancies on Syngas Conversion over Oxides: A Machine Learning-Accelerated Study of CO Activation on Cr-Doped ZnO Surfaces. (2023)

First Author: Han Y

Attributed to: Tier 2 Hub in Materials and Molecular Modelling funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acscatal.3c03648

PubMed Identifier: 38026819

Publication URI: http://europepmc.org/abstract/MED/38026819

Type: Journal Article/Review

Volume: 13

Parent Publication: ACS catalysis

Issue: 22

ISSN: 2155-5435