Qingyang Zhang

Physics-informed multi-scale spatiotemporal learning for transient incompressible flow prediction

Experimental results show that MuST-Flow achieves the lowest mean absolute error, highest structural similarity, and lowest speed and velocity-direction errors among both generic spatiotemporal prediction baselines and flow-oriented neural-operator baselines, while maintaining competitive divergence and Navier–Stokes r...