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UQ Group

Traffic flow learning

Physics-informed Neural Operators

Folder of "PI-DCON" contains the implementation of Physics-informed discretization-independent deep compositional operator network. If you think that the work of the PI-DCON is useful in your research, please consider citing our paper in your manuscript:

@article{zhong2024physics,
  title={Physics-informed discretization-independent deep compositional operator network},
  author={Zhong, Weiheng and Meidani, Hadi},
  journal={Computer Methods in Applied Mechanics and Engineering},
  volume={431},
  pages={117274},
  year={2024},
  publisher={Elsevier}
}

Folder of "PI-GANO" contains the implementation of Physics-Informed Geometry-Aware Neural Operator. If you think that the work of the PI-GANO is useful in your research, please consider citing our paper in your manuscript:

@article{zhong2025physics,
  title={Physics-Informed Geometry-Aware Neural Operator},
  author={Zhong, Weiheng and Meidani, Hadi},
  journal={Computer Methods in Applied Mechanics and Engineering},
  volume={434},
  pages={117540},
  year={2025},
  publisher={Elsevier}
}

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