September 21, 2026 article Open access Comparing Physics-Informed and Physics-Enforced Neural Networks for the Chaotic Three-Body Problem Cureus Journal of Computer Science. DOI: 10.7759/s44389-026-00285-7 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 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 Newton versus the machine: solving the chaotic three-body problem using deep neural networks 2020 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent 97 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 Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem 2021 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access 1 citations 3 results