March 01, 2021 article Open access Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime Journal of The Electrochemical Society DOI: 10.1149/1945-7111/abec55 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 269 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Fast data augmentation for battery degradation prediction 2025 Energy and AI article Engineering Advanced Battery Technologies Research Open access 8 citations Innovations and prognostics in battery degradation and longevity for energy storage systems 2025 Journal of Energy Storage article Engineering Advanced Battery Technologies Research Open access 39 citations Rapid Simulation of Electro-Chemo-Mechanical Deformation of Li-ion Batteries Based On Porous Electrode Theory 2024 Journal of The Electrochemical Society article Engineering Advanced Battery Technologies Research Open access 17 citations End-of-life or second-life options for retired electric vehicle batteries 2021 Cell Reports Physical Science article Engineering Advanced Battery Technologies Research Open access cited by 1 patent 307 citations 4 results References 0