August 27, 2020 article Open access SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems Neural Networks DOI: 10.1016/j.neunet.2020.08.017 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 183 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 A generalized framework of neural networks for Hamiltonian systems 2024 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access 11 citations A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms 2024 SIAM Journal on Scientific Computing article Physics and Astronomy Model Reduction and Neural Networks 9 citations A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks 2023 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access 7 citations Structure-Preserving Gaussian Process Dynamics 2023 Lecture notes in computer science conference-paper Computer Science Gaussian Processes and Bayesian Inference 2 citations 4 results References 0