2 papers
cs.CE2026
Parameter conditioned interpretable U-Net surrogate model for data-driven predictions of convection-diffusion-reaction processes
Michael Urs Lars Kastor, Jan Rottmayer, Anna Hundertmark +1
We present a combined numerical and data-driven workflow for efficient prediction of nonlinear, instationary convection-diffusion-reaction dynamics on a two-dimensional phenotypic…
cs.CE2025
Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models
Long Chen, Emre Oezkaya, Jan Rottmayer +3
We introduce an adjoint-based aerodynamic shape optimization framework that integrates a diffusion model trained on existing designs to learn a smooth manifold of aerodynamically v…