Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook

Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook

Abstract The application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life. However, the accuracy of ML predictions is strongly dependent on the...

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Bibliographic Details
Main Authors: Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Advanced Science
Subjects:
data processing strategies
domain knowledge
lithium battery materials
machine learning
Online Access:https://doi.org/10.1002/advs.202410065
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https://doi.org/10.1002/advs.202410065

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