Unveiling sodium storage mechanisms in hard carbon via machine learning-driven simulations integrated with accurate site occupation identification

Journal:

Chemical Science

Published:

2026-02-04

DOI:

10.1039/d5sc07068f

Affiliations:

5

Authors:

6

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Institutions	Authors	Share
Shenzhen Institutes of Advanced Technology (SIAT), CAS, China	2.500000	0.42
Suzhou Laboratory, China	2.000000	0.33
Southeast University (SEU), China	0.666667	0.11
University of Science and Technology of China (USTC), China	0.500000	0.08
School of Chemistry and Materials Science, USTC, China	0.333333	0.06

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