A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow
Publication
, Preprint
Momenifar, M; Diao, E; Tarokh, V; Bragg, AD
January 10, 2022
Duke Scholars
Publication Date
January 10, 2022
Citation
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Chicago
ICMJE
MLA
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Momenifar, M., Diao, E., Tarokh, V., & Bragg, A. D. (2022). A Physics-Informed Vector Quantized Autoencoder for Data Compression of
Turbulent Flow.
Momenifar, Mohammadreza, Enmao Diao, Vahid Tarokh, and Andrew D. Bragg. “A Physics-Informed Vector Quantized Autoencoder for Data Compression of
Turbulent Flow,” January 10, 2022.
Momenifar M, Diao E, Tarokh V, Bragg AD. A Physics-Informed Vector Quantized Autoencoder for Data Compression of
Turbulent Flow. 2022.
Momenifar, Mohammadreza, et al. A Physics-Informed Vector Quantized Autoencoder for Data Compression of
Turbulent Flow. 10 Jan. 2022.
Momenifar M, Diao E, Tarokh V, Bragg AD. A Physics-Informed Vector Quantized Autoencoder for Data Compression of
Turbulent Flow. 2022.
Publication Date
January 10, 2022