MeshingNet: A New Mesh Generation Method Based on Deep Learning

@article{Zhang2020MeshingNetAN,
  title={MeshingNet: A New Mesh Generation Method Based on Deep Learning},
  author={Zheyan Zhang and Yongxing Wang and Peter K. Jimack and Haiquan Wang},
  journal={Computational Science – ICCS 2020},
  year={2020},
  volume={12139},
  pages={186 - 198}
}
  • Zheyan Zhang, Yongxing Wang, +1 author Haiquan Wang
  • Published 2020
  • Mathematics, Computer Science
  • Computational Science – ICCS 2020
  • We introduce a novel approach to automatic unstructured mesh generation using machine learning to predict an optimal finite element mesh for a previously unseen problem. The framework that we have developed is based around training an artificial neural network (ANN) to guide standard mesh generation software, based upon a prediction of the required local mesh density throughout the domain. We describe the training regime that is proposed, based upon the use of a posteriori error estimation, and… CONTINUE READING

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