Predicting aggregation energy for single atom bimetallic catalysts on clean and O* adsorbed surfaces through machine learning models
Author:
Affiliation:
1. Department of Materials Science and Engineering
2. University of Toronto
3. Toronto
4. Canada
5. Department of Mechanical and Industrial Engineering
Abstract
Machine learning models are successfully developed for simultaneous prediction of stability and adsorption energy at single-atom bimetallic sites.
Funder
Natural Sciences and Engineering Research Council of Canada
University of Toronto
Publisher
Royal Society of Chemistry (RSC)
Subject
Catalysis
Link
http://pubs.rsc.org/en/content/articlepdf/2020/CY/C9CY02070E
Reference50 articles.
1. Understanding catalysis
2. International Energy Agency , Tracking Progress: Industry , 2017
3. Y. J. Pagán-Torres , J.Lu , E.Nikolla and A. C.Alba-Rubio , in Studies in Surface Science and Catalysis , Elsevier Inc. , 2017 , vol. 177 , pp. 643–676
4. The atomic structure of alloy surfaces and surface alloys
5. Near-surface alloys for hydrogen fuel cell applications
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