Artificial Intelligence Empowers Solid-State Batteries for Material Screening and Performance Evaluation (IMAGE)
Caption
- 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 perspectives of artificial intelligence in solid-state battery are discussed.
Credit
Sheng Wang, Jincheng Liu, Xiaopan Song, Huajian Xu, Yang Gu, Junyu Fan, Bin Sun, Linwei Yu.
Usage Restrictions
Credit must be given to the creator. Only noncommercial uses of the work are permitted. No derivatives or adaptations of the work are permitted.
License
CC BY-NC-ND