Toward Practical Design of High-Entropy Catalysts for Chlorine Evolution Reaction via Pareto-Guided Multi-Objective Bayesian Optimization Enabled by a Robotic AI-Chemist

Journal:

Angewandte Chemie International Edition

Published:

2026-05-13

DOI:

10.1002/anie.8794274

Affiliations:

5

Authors:

15

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Institutions	Authors	Share
State Key Laboratory of Precision and Intelligent Chemistry, USTC, China	11.500000 11.500000	0.77
Henan Academy of Sciences, China	1.500000	0.10
Institute of Process Engineering (IPE), CAS, China	1.000000	0.07
City University of Hong Kong (CityU), China	0.500000	0.03
University of Science and Technology of China (USTC), China	0.500000	0.03

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