4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.LG2026
MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
Weizheng Zhang, Xunjie Xie, Hao Pan +4
While Physics-Informed Neural Networks (PINNs) offer a mesh-free approach to solving fluid-flow PDEs, standard point-wise residual minimization suffers from convergence pathologies…
math.OC2025★ 4 cited
DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design
Weizheng Zhang, Hao Pan, Lin Lu +4
Heat exchangers are critical components in a wide range of engineering applications, from energy systems to chemical processing, where efficient thermal management is essential. Th…
cs.CV2024
PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction
Bingchen Yang, Haiyong Jiang, Hao Pan +3
Reverse engineering CAD models from raw geometry is a classic but challenging research problem. In particular, reconstructing the CAD modeling sequence from point clouds provides g…