Zhan Ma

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20212025

most citedFast Simulation of Particulate Suspensions Enabled by Graph Neural Network

31 citations · 59 across the 5 of their papers we have counts for

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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…

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