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Deep Flow Prediction

Deep learning for RANS airfoil flows

Paper title Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows

Thuerey et al. (TUM) · Aero & CFD · Public: code, data

Paper arXiv 1810.08217PDF

A U-Net takes the airfoil shape and the freestream velocity (which encodes Reynolds number and angle of attack) on a 128×128 grid and returns the full RANS pressure and velocity fields in one pass.

Published
AIAA Journal

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