4 papers · 1 filter
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
Jingren Hou, Hong Wang, Pengyu Xu +3
Real-world scientific applications frequently encounter incomplete observational data due to sensor limitations, geographic constraints, or measurement costs. Although neural opera…
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
Qin-Yi Zhang, Hong Wang, Siyao Liu +6
Fluid-structure interaction (FSI) systems involve distinct physical domains, fluid and solid, governed by different partial differential equations and coupled at a dynamic interfac…
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
Yeqiu Chen, Ziyan Liu, Hong Wang +1
Solving large-scale Generalized Eigenvalue Problems (GEPs) is a fundamental yet computationally prohibitive task in science and engineering. As a promising direction, contour integ…
Self-Attention to Operator Learning-based 3D-IC Thermal Simulation
Zhen Huang, Hong Wang, Wenkai Yang +6
Thermal management in 3D ICs is increasingly challenging due to higher power densities. Traditional PDE-solving-based methods, while accurate, are too slow for iterative design. Ma…