May 04, 2022 article Open access E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials Nature Communications DOI: 10.1038/s41467-022-29939-5 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 1,915 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 Exploring chemistry and catalysis by biasing skewed distributions via deep learning 2026 Nature Communications article Materials Science Machine Learning in Materials Science Open access 2 citations 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 Towards sustainable exploration of chemical spaces with machine learning 2026 Digital Discovery article Materials Science Machine Learning in Materials Science Open access 0 citations Exploring data augmentation: Multi-task methods for molecular property prediction 2025 Computers & Chemical Engineering article Materials Science Machine Learning in Materials Science Open access 2 citations Atomate2: modular workflows for materials science 2025 Digital Discovery article Materials Science Machine Learning in Materials Science Open access 43 citations 2023 Roadmap on molecular modelling of electrochemical energy materials 2023 Journal of Physics Energy article Materials Science Machine Learning in Materials Science Open access 40 citations 7 results References 0