Popular GitHub Repositories for Porous Media

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.

This project used convolutional neural networks to predict the steady-state concentration of 3D porous media, and subsequently calculates the tortuosity. This package includes data generation, processing, training, and post-processing functions. The loss function includes a Laplacian loss, which is a physics-informed loss.