February 03, 2023 article Open access Learning local equivariant representations for large-scale atomistic dynamics Nature Communications DOI: 10.1038/s41467-023-36329-y Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 699 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 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 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 Drug Design in the Exascale Era: A Perspective from Massively Parallel QM/MM Simulations 2023 Journal of Chemical Information and Modeling article Physics and Astronomy Advanced Chemical Physics Studies Open access 58 citations Drug Design in the Exascale Era: A Perspective from Massively Parallel QM/MM Simulations 2023 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access 1 citations 7 results References 0