Machine Learning Conservation Laws from Trajectories
We present AI Poincar\'e, a machine learning algorithm for auto-discovering conserved quantities using trajectory data from unknown dynamical systems. We test it on five Hamiltonian systems, including the gravitational 3-body problem, and find that it discovers not only all exactly conserved...
| Päätekijät: | , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
American Physical Society (APS)
2022
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| Linkit: | https://hdl.handle.net/1721.1/142231 |