Artificial Intelligence Empowers Solid-State Batteries for Material Screening and Performance Evaluation

Artificial Intelligence Empowers Solid-State Batteries for Material Screening and Performance Evaluation

Highlights The latest advancements in the application of machine learning (ML) for the screening of solid-state battery materials are reviewed. The achievements of various ML algorithms in predicting different performances of the battery management system are discussed. Future challenges and perspec...

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Bibliographic Details
Main Authors: Sheng Wang, Jincheng Liu, Xiaopan Song, Huajian Xu, Yang Gu, Junyu Fan, Bin Sun, Linwei Yu
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Nano-Micro Letters
Subjects:
Solid-state batteries
Artificial intelligence
Deep learning
Material screening
Performance evaluation
Online Access:https://doi.org/10.1007/s40820-025-01797-y
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https://doi.org/10.1007/s40820-025-01797-y

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