Long-Yang Xiang

Physics-Attention Wind Noise Transformer: A Point Cloud Deep Learning Surrogate for Rapid Automotive Wind Noise Prediction

Accurate prediction of automotive aerodynamic wind noise is important for cabin comfort and early-stage styling, yet conventional CFD and wind-tunnel workflows are too expensive for rapid design iteration. This paper proposes a point cloud surrogate that combines farthest-point sampling with a Transolver-derived, physi...