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Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine

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Year: 2025
Type: article
Source: Computer Physics Communications
DOI: 10.1016/j.cpc.2025.109619
Authors: Ionuţ-Gabriel Farcaş, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
Institutions: Virginia Tech, The University of Texas at Austin, Edwards Air Force Base, United States Air Force Research Laboratory
Language: English

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

Open Access status: green

Funders: U.S. Department of Defense, University of Texas at Austin, Department of Mechanical Engineering, University of Texas at Austin, Air Force Research Laboratory
Awards: G2623780094, G4816184722, G8289759875
OpenAlex ID: W4409417239
FWCI: 4.937
Cites: 53
Cited by: 13
Related to: 10
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