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Found 2 papers, 1 papers with code
Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
This approach uses a deep neural network with embedded coordinate frame invariance to predict a tensorial turbulent diffusivity that is not explicitly available in the high fidelity data used for training.
Generalization of machine-learned turbulent heat flux models applied to film cooling flows
The design of film cooling systems relies heavily on Reynolds-Averaged Navier-Stokes (RANS) simulations, which solve for mean quantities and model all turbulent scales.
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