A neural network that corrects RANS turbulence models using velocity-aligned, scale-normalized local stencils transfers from one periodic hill training case to other hill geometries and Reynolds numbers, cutting mean-velocity prediction errors substantially.
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Non-Linear Super-Stencils for Turbulence Model Corrections
A neural network that corrects RANS turbulence models using velocity-aligned, scale-normalized local stencils transfers from one periodic hill training case to other hill geometries and Reynolds numbers, cutting mean-velocity prediction errors substantially.