SU2

SU2 is an open-source suite for PDE-constrained optimization. Besides RANS/LES solvers, its distinguishing feature is the discrete adjoint solver that yields accurate design gradients at a cost independent of the number of design variables.

Use cases: High-fidelity reference for aerodynamic surrogate models; gradient-based shape optimization; sensitivity analysis that can supervise or validate learned models.