A k-omega turbulence model is enhanced with PINN-derived turbulent viscosity correction and NN-adjusted coefficients, producing improved velocity, skin friction, and turbulent kinetic energy profiles against DNS in channel and periodic hill flows.
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Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-\omega$ Turbulence Model
A k-omega turbulence model is enhanced with PINN-derived turbulent viscosity correction and NN-adjusted coefficients, producing improved velocity, skin friction, and turbulent kinetic energy profiles against DNS in channel and periodic hill flows.