Machine Learning-Assisted Active Center Exploration in Atomically Thin MoSxTe2-x Electrocatalysts for Efficient Hydrogen Evolution

Journal:

Advanced Materials

Published:

2025-07-06

DOI:

10.1002/adma.202503474

Affiliations:

7

Authors:

11

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Institutions	Authors	Share
National University of Defense Technology (NUDT), China	3.500000	0.32
State Key Laboratory of Complex Critical Software Environment, China	2.500000	0.23
Xinjiang University (XJU), China	1.500000	0.14
Peking University Shenzhen Graduate School (PKUSZ), China	1.500000	0.14
State Key Laboratory of Powder Metallurgy, CSU, China	1.000000	0.09
Tongji University, China	1.000000	0.09

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