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Machine learning for high-entropy catalysts: methods and applications

Year: 2026

Type: article

Source: Journal of Materials Science

DOI: 10.1007/s10853-026-13834-1

Authors: Hao Chen, Zongrui Pei, Xianglin Liu

Institutions: Southern University of Science and Technology, Peng Cheng Laboratory, The University of Texas at Arlington, New York University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Awards: G8121378941, G9000373046

OpenAlex ID: W7213576478

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