Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions
- DOI
- 10.1002/advs.77261
- Published
- 2026-08-24
- Container
- Advanced Science
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/advs.77261,
title = {Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions},
author = {Joey Chan and Huan Wang and Zhen Chen and Haoyu Pan and Wei Wu and Zirong Wang and Ershun Pan and Min Xie and Lifeng Xi},
year = {2026},
journal = {Advanced Science},
doi = {10.1002/advs.77261},
url = {https://doi.org/10.1002/advs.77261}
}RIS
TY - JOUR TI - Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions AU - Joey Chan AU - Huan Wang AU - Zhen Chen AU - Haoyu Pan AU - Wei Wu AU - Zirong Wang AU - Ershun Pan AU - Min Xie AU - Lifeng Xi PY - 2026 JO - Advanced Science DO - 10.1002/advs.77261 UR - https://doi.org/10.1002/advs.77261 ER -
APA
Chan, J., Wang, H., Chen, Z., Pan, H., Wu, W., Wang, Z., Pan, E., Xie, M., & Xi, L. (2026). Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions. Advanced Science. https://doi.org/10.1002/advs.77261
Source records
- crossref · retrieved 2026-09-27T00:55:54.799Z