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Learning physical laws from observations of complex dynamics

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The laws of physics, formulated in a compact form, are elusive for complex dynamic phenomena. However, it is now shown that, using artificial intelligence constrained by the physical Onsager principle, a custom thermodynamic description of a complex system can be constructed from the observation of its dynamical behavior.

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Fig. 1: Overall workflow, including our Stochastic OnsagerNet.

References

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This is a summary of: Chen, X. et al. Constructing custom thermodynamics using deep learning. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00581-5 (2023)

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Learning physical laws from observations of complex dynamics. Nat Comput Sci 4, 9–10 (2024). https://doi.org/10.1038/s43588-023-00590-4

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  • DOI: https://doi.org/10.1038/s43588-023-00590-4

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