January 01, 2021 article Open access Choosing the right molecular machine learning potential Chemical Science DOI: 10.1039/d1sc03564a Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 186 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 Advancing density functional tight-binding method for large organic molecules through equivariant neural networks 2026 Physical Chemistry Chemical Physics article Physics and Astronomy Advanced Chemical Physics Studies Open access 9 citations A symmetry-preserving and transferable representation for learning the Kohn–Sham density matrix 2026 Digital Discovery article Materials Science Machine Learning in Materials Science Open access 1 citations 2 results References 0