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

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

collaborators

3 papers

physics.comp-ph2026

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…

physics.comp-ph2026★ 2 cited

-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 (-matrix) techniques, for simulating large-scale particulate…

math.NA2024

Discrete Variable Topology Optimization Using Multi-Cut Formulation and Adaptive Trust Regions

Zisheng Ye, Wenxiao Pan

We present a new framework for solving general topology optimization (TO) problems that find an optimal material distribution within a design space to maximize the performance of a…