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physics.flu-dyn2022
Challenges and Opportunities for Machine Learning in Fluid Mechanics
M. A. Mendez, J. Dominique, M. Fiore +3
Big data and machine learning are driving comprehensive economic and social transformations and are rapidly re-shaping the toolbox and the methodologies of applied scientists. Mach…
physics.flu-dyn2022
Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers
Matilde Fiore, Lilla Koloszar, Miguel Alfonso Mendez +2
Liquid metals play a central role in new generation liquid metal cooled nuclear reactors, for which numerical investigations require the use of appropriate thermal turbulence model…