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CUDA-based discrete-adjoint CFD — an FP32 GPU RANS/LES finite-volume solver with an exact source-to-source AD (cuad) discrete adjoint driving shape optimization, inverse design, and field inversion (FIML).
This notebook means to use CFD algorithms to compute the parameters of an NACA airfoil with Spalart-Almarras for unsteady compressible viscous turbulent flow
A FEniCS-based framework for density-based topology optimization of turbulent fluid manifolds. It couples the Spalart-Allmaras turbulence model with continuous adjoint formulations to minimize energy dissipation in high-Reynolds flows.