AI RESEARCH
Signal-Aware Conditional Diffusion Surrogates for Transonic Wing Pressure Prediction
arXiv CS.LG
•
ArXi:2604.11263v1 Announce Type: cross Accurate and efficient surrogate models for aerodynamic surface pressure fields are essential for accelerating aircraft design and analysis, yet deterministic regressors trained with pointwise losses often smooth sharp nonlinear features. This work presents a conditional denoising diffusion probabilistic model for predicting surface pressure distributions on the NASA Common Research Model wing under varying conditions of Mach number, angle of attack, and four control surface deflections.