Mechanism-driven life Prediction of lithium-ion batteries via a coupled mechanical-electrochemical degradation model and Gaussian process regression
Fields of Study & Subjects
Advanced Battery Technologies Research
Machine Learning in Materials Science
Advanced battery technologies research
Publication details
- Journal / source
- Journal of Power Sources
- Publisher
- Elsevier BV
- Volume
- 667
- Pages
- 239316–239316
- Publication date
- 14 January 2026
- Language
- EN