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Learning state variables for physical systems

Nature Computational Science volume 2, pages 414–415 (2022)Cite this article

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The problem of automatically determining state variables for physical systems is challenging, but essential in the modeling process of almost all scientific and engineering processes. A deep neural network-based approach is proposed to find state variables for systems whose data are given as video frames.

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Fig. 1: Workflow for the designed data-driven framework that finds state variables.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA, USA

    Boris Kramer

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  1. Boris Kramer
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Correspondence to Boris Kramer.

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The author declares no competing interests.

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Kramer, B. Learning state variables for physical systems. Nat Comput Sci 2, 414–415 (2022). https://doi.org/10.1038/s43588-022-00283-4

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