Recent advances in artificial intelligence boosting materials design for electrochemical energy storage

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Xinxin Liu, Kexin Fan, Xinmeng Huang, Jiankai Ge, Yujie Liu, Haisu Kang

Published: 01 Jun 2024, Last Modified: 24 Nov 2025Chemical Engineering JournalEveryoneRevisionsCC BY-SA 4.0
Abstract: Highlights•AI benefits the design and discovery of advanced materials for electrochemical energy storage (EES).•AI is widely applied to battery safety, fuel cell efficiency, and supercapacitor capabilities.•AI-driven models optimize and improve the properties of materials in EES systems.•The review summarizes AI's applications and reveals its potential to boost next-generation energy storage systems.