Yang Zhang

CFD-validated deep active subspace learning for reliable offline transonic airfoil optimization and shock-control analysis

A data-driven deep active subspace method (DASM) that jointly learns nonlinear active coordinates and a neural response for direct reduced-space optimization and converts surrogate convergence into reliable CFD improvement without adaptive enrichment is developed.