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DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems

Two benchmark data sets: 2D turbulence and clouds of Jupiter, are chosen for validation against a survey of LCS to methods from [44], and a simulated climate data set demonstrate scientific and scaling performance on a real-world scientific application, as in [27].

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Cite this as

Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor Lee, Prabhat, James P. Crutchfield (2024). Dataset: DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. https://doi.org/10.57702/3dnxrw37

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1909.11822
Author Adam Rupe
More Authors
Nalini Kumar
Vladislav Epifanov
Karthik Kashinath
Oleksandr Pavlyk
Frank Schlimbach
Mostofa Patwary
Sergey Maidanov
Victor Lee
Prabhat
James P. Crutchfield
Homepage https://arxiv.org/abs/1906.06441