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Authors
Zisheng Ye (0000-0001-6675-9747), Zhan Ma, Ebrahim Safdarian, Shirindokht Yazdani, Wenxiao Pan (0000-0002-2252-7888)
Citation
Ye et al., (2026). H-HIGNN Toolkit: A Software for Efficient and Scalable Simulation of Large-Scale Particulate Suspensions Using GNNs and H-Matrices. Journal of Open Source Software, 11(117), 8777, https://doi.org/10.21105/joss.08777
@article{Ye2026,
doi = {10.21105/joss.08777},
url = {https://doi.org/10.21105/joss.08777},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {117},
pages = {8777},
author = {Ye, Zisheng and Ma, Zhan and Safdarian, Ebrahim and Yazdani, Shirindokht and Pan, Wenxiao},
title = {H-HIGNN Toolkit: A Software for Efficient and Scalable Simulation of Large-Scale Particulate Suspensions Using GNNs and H-Matrices},
journal = {Journal of Open Source Software}
}
Tags
Python/C++ Complex Fluids Fluid Dynamics Graph Neural Networks Hierarchical Matrices
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This work is licensed under a Creative Commons Attribution 4.0 International License.
