Xuebin Hu

ScaleNet-NO: A Multi-Scale Neural Operator for Fluid Mechanics Problems and General PDE Solving

Neural operators have shown strong potential for solving partial differential equations (PDEs) by learning mappings between high-dimensional function spaces. However, many existing models struggle to capture both high-frequency details and multi-scale structures, which are critical in turbulent flows, porous media hete...