June 14, 2022 article Physics-encoded deep learning in identifying battery parameters without direct knowledge of ground truth Applied Energy DOI: 10.1016/j.apenergy.2022.119390 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 18 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 Multiple Operando Fields Can Identify a Predictive Mass Transport Theory in Electrolytes 2025 The Journal of Physical Chemistry C article Engineering Advancements in Battery Materials Open access 4 citations Synergizing physics and machine learning for advanced battery management 2024 Communications Engineering article Engineering Advanced Battery Technologies Research Open access 65 citations 2 results References 0