Thermodynamics-informed neural network for recovering supercritical fluid thermophysical information from turbulent velocity data

Recent research has highlighted the potential of supercritical fluids under high-pressure transcritical conditions to achieve microconfined turbulence as a result of the thermophysical properties they exhibit in the vicinity of the pseudo-boiling region. This has led to increased interest in underst...

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Bibliographic Details

Published in:	International Journal of Thermofluids Vol. 20; p. 100448
Main Authors:	Masclans, Núria, Vázquez-Novoa, Fernando, Bernades, Marc, Badia, Rosa M., Jofre, Lluís
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-11-2023 Elsevier
Subjects:	Deep learning Supercritical fluid Thermodynamics-informed neural network Turbulent flow Deep learning Supercritical fluid Turbulent flow Thermodynamics-informed neural network
Online Access:	Get full text
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