September 28, 2026 article Machine Learning Interatomic Potentials for Modeling Solid-State Batteries Chemistry of Materials DOI: 10.1021/acs.chemmater.6c01051 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 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 A general expression for the statistical error in a diffusion coefficient obtained from a solid‐state molecular‐dynamics simulation 2023 Journal of Computational Chemistry article Materials Science Material Dynamics and Properties Open access 22 citations Advancing density functional tight-binding method for large organic molecules through equivariant neural networks 2026 Physical Chemistry Chemical Physics article Materials Science Machine Learning in Materials Science Open access 8 citations 2 results