Density Functional Theory-Machine Learning Characterization of the Adsorption Energy of Oxygen Intermediates on High-Entropy Alloys Made of Earth-Abundant Metals

Citation topics: 7 Engineering & Materials Science; 7.12 Metallurgical Engineering; 7.12.2236 High-Entropy Alloys
Web Of Science research areas: Chemistry, Physical; Materials Science, Multidisciplinary; Nanoscience & Nanotechnology
ESI research areas: Chemistry

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Title: Density Functional Theory-Machine Learning Characterization of the Adsorption Energy of Oxygen Intermediates on High-Entropy Alloys Made of Earth-Abundant Metals
Creators: Geng Yuan - University of Miami
Mingyue Wu - University of Miami
Luis Ruiz Pestana - University of Miami
Publication Details: Journal of physical chemistry. C
Academic Unit: CoE - Civil Arch & Env Engineering; College of Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031921607402976