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

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Year: 2026
Type: article
Source: The Journal of Physical Chemistry Letters
DOI: 10.1021/acs.jpclett.6c01620
Authors: Jingwen Dai, Zhiyan Xue, Yan Tian, Fanghua Ning, Xiaoyu Liu, Tong Liu, Siqi Shi, Shigang Lu, Jin Yi
Institution: Shanghai University
Language: English

Topic: Machine Learning in Materials Science
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
SDG: Affordable and clean energy

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality
Awards: 锂空气电池用聚碳酸酯/锂镧锆氧三维复合固体电解质的制备及其超疏水机理研究, G1680909517, G2323951130, G5500704681, G6865346988, G7006090244
OpenAlex ID: W7165191890
FWCI: 1.447
Cites: 39
Cited by: 1
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