Domain oriented universal machine learning potential enables fast exploration of chemical space of battery electrolytes

Journal:

Nature Communications

Published:

2025-12-31

DOI:

10.1038/s41467-025-67982-0

Affiliations:

3

Authors:

5

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Institutions	Authors	Share
State Key Laboratory of Physical Chemistry of Solid Surfaces (PCOSS), XMU, China	3.833333	0.77
Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), XMU, China	0.833333	0.17
Xiamen University (XMU), China	0.333333	0.07

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