September 23, 2020 article Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces Computational Materials Science DOI: 10.1016/j.commatsci.2020.110071 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 16 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 Symmetry-invariant quantum machine learning force fields 2025 New Journal of Physics article Computer Science Quantum Computing Algorithms and Architecture Open access 10 citations Symmetry-invariant quantum machine learning force fields 2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access 4 citations 2 results References 0