Wenxiao Pan

activity

20242026

most cited

H

-HIGNN: A Scalable Graph Neural Network Framework with Hierarchical Matrix Acceleration for Simulation of Large-Scale Particulate Suspensions

2 citations · 2 across the 6 of their papers we have counts for

collaborators

Showing 2025Show all

3 papers · 1 filter

physics.comp-ph2025

Towards Quantum Accelerated Large-scale Topology Optimization

Zisheng Ye, Wenxiao Pan

We present a new method that efficiently solves TO problems and provides a practical pathway to leverage quantum computing to exploit potential quantum advantages. This work target…

math.NA2025

Error Estimates for the Arnoldi Approximation of a Matrix Square Root

James H. Adler, Xiaozhe Hu, Wenxiao Pan +1

The Arnoldi process provides an efficient framework for approximating functions of a matrix applied to a vector, i.e., of the form $f (M) b$ , by repeated matrix-vector multiplic…

physics.comp-ph2025★ 2 cited

$H$ -HIGNN: A Scalable Graph Neural Network Framework with Hierarchical Matrix Acceleration for Simulation of Large-Scale Particulate Suspensions

Zhan Ma, Zisheng Ye, Ebrahim Safdarian +1

We present a fast and scalable framework, leveraging graph neural networks (GNNs) and hierarchical matrix ( $H$ -matrix) techniques, for simulating large-scale particulate…

Towards Quantum Accelerated Large-scale Topology Optimization

Error Estimates for the Arnoldi Approximation of a Matrix Square Root

H-HIGNN: A Scalable Graph Neural Network Framework with Hierarchical Matrix Acceleration for Simulation of Large-Scale Particulate Suspensions

$H$ -HIGNN: A Scalable Graph Neural Network Framework with Hierarchical Matrix Acceleration for Simulation of Large-Scale Particulate Suspensions