A Deep Surrogate Model for Robust and Generalizable Long-Term Blast Wave Prediction

ArXi:2602.18168v2 Announce Type: replace Accurately modeling the spatio-temporal dynamics of blast wave propagation remains a longstanding challenge due to its highly nonlinear behavior, sharp gradients, and burdensome computational cost. While machine learning-based surrogate models offer fast inference as a promising alternative, they suffer from degraded accuracy, particularly evaluated on complex urban layouts or out-of-distribution scenarios.