February 05, 2020 article Open access Machine learning for interatomic potential models The Journal of Chemical Physics DOI: 10.1063/1.5126336 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 367 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 Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials 2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access 1 citations Accurate Simulations of the Reaction of H2on a Curved Pt Crystal through Machine Learning 2021 The Journal of Physical Chemistry Letters article Materials Science Machine Learning in Materials Science Open access 15 citations Computational approaches to dissociative chemisorption on metals: towards chemical accuracy 2021 Physical Chemistry Chemical Physics article Physics and Astronomy Advanced Chemical Physics Studies Open access 96 citations 3 results References 0