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

Journal:
Advanced Materials
Published:
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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