Predicting Effective Diffusivity of Porous Media from Images by Deep Learning

@article{Wu2019PredictingED,
  title={Predicting Effective Diffusivity of Porous Media from Images by Deep Learning},
  author={Haiyi Wu and Wen-Zhen Fang and Qinjun Kang and Wenquan Tao and Rui Qiao},
  journal={Scientific Reports},
  year={2019},
  volume={9}
}
We report the application of machine learning methods for predicting the effective diffusivity (De) of two-dimensional porous media from images of their structures. Pore structures are built using reconstruction methods and represented as images, and their effective diffusivity is computed by lattice Boltzmann (LBM) simulations. The datasets thus generated are used to train convolutional neural network (CNN) models and evaluate their performance. The trained model predicts the effective… 

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