Work

Predicting Activation Energy of Hydrocarbon Dehydrogenation on Au(111) via Machine Learning

Year: 2026

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.5c03941

Authors: Tianyu Gao, Yuying Wang, Ran Jia, Haiming Zhang, Miao Xie, William A. Goddard III, Lifeng Chi

Institutions: Soochow University, Jilin University, State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, California Institute of Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, Jilin University, Collaborative Innovation Center of Suzhou Nano Science and Technology, Higher Education Discipline Innovation Project

Awards: Collaborative Research: New Anodic Catalysts for Water Oxygen Evolution Using Hybrid Solid-State Materials, G3985680110

OpenAlex ID: W7124267037

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Cites: 51

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