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Learning fast, accurate, and stable closures of a kinetic theory of an active fluid

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Year: 2024
Type: article
Source: Journal of Computational Physics
DOI: 10.1016/j.jcp.2024.112869
Authors: Suryanarayana Maddu, Scott Weady, Michael J. Shelley
Institutions: Simons Foundation, Flatiron Institute, Courant Institute of Mathematical Sciences, New York University
Language: English

Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Division of Materials Research
Award: Collaborative Research: Multiscale engineering of active stress in biomaterials
OpenAlex ID: W4392104288
FWCI: 0.875
Cites: 48
Cited by: 6
Related to: 10
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