Predicting Li-Ion Migration Energy Barriers in Battery Cathode Materials via Convolutional Neural Network Model Based on Descriptors Divide-and-Conquer Strategy

Journal:
The Journal of Physical Chemistry Letters
Published:
DOI:
10.1021/acs.jpclett.6c01620
Affiliations:
2
Authors:
9
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Institutions Authors Share
State Key Laboratory of Materials for Advanced Nuclear Energy, China
7.000000
 0.78
Shanghai University (SHU), China
2.000000
 0.22