November 20, 2019 article Open access Unsupervised discovery of solid-state lithium ion conductors Nature Communications DOI: 10.1038/s41467-019-13214-1 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 325 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 Digital twin models 2026 Elsevier eBooks book-chapter Engineering Digital Transformation in Industry 0 citations Unsupervised learning of charge-discharge cycles from various lithium-ion battery cells to visualize dataset characteristics and to interpret model performance 2024 Energy and AI article Engineering Advanced Battery Technologies Research Open access 10 citations Irregular microstructure-property linkage for cast alloys by a novel deep learning approach: Application on cast austenitic stainless steel 2023 Materials Today Communications article Materials Science Machine Learning in Materials Science 7 citations 3 results References 0