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Physics-Informed Data-driven Modeling of Supersonic Retropropulsion
Document ID
20220016942
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
David Wu (Stanford University Stanford, California, United States)
Wai Tong Chung (Stanford University Stanford, California, United States)
Matthias Imhe (Stanford University Stanford, California, United States)
Karl Edquist (Langley Research Center Hampton, Virginia, United States)
Date Acquired
November 8, 2022
Subject Category
Aerodynamics
Meeting Information
Meeting: 75th Annual Meeting of the American Physical Society’s Division of Fluid Dynamics
Location: Indianapolis, IN
Country: US
Start Date: November 20, 2022
End Date: November 22, 2022
Sponsors: American Physical Society
Funding Number(s)
CONTRACT_GRANT: NASA ESI 80NSSC22K0257
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
Single Expert
Keywords
Supersonic Retropropulsion
Reduced-order models
Data-analytics

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