May 14, 2024 review Electrochemical energy conversion and storage processes with machine learning Trends in Chemistry DOI: 10.1016/j.trechm.2024.04.007 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 18 References 3 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 Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence 2021 Energy storage materials article Engineering Advanced Battery Technologies Research Open access cited by 2 patents 210 citations Enhancing the connection between computation and experiments in electrocatalysis 2022 Nature Catalysis article Energy Electrocatalysts for Energy Conversion Open access 122 citations Estimation of Potentials in Lithium-Ion Batteries Using Machine Learning Models 2021 IEEE Transactions on Control Systems Technology article Engineering Advanced Battery Technologies Research 41 citations 3 results