Large-scale statistical learning for mass transport prediction in porous materials using 90,000 artificially generated microstructures

<p>Dataset and code used in B Prifling, et al, &quot;Large-scale statistical learning for mass transport prediction in porous materials using 90,000 artificially generated microstructures&quot;, published in Frontiers in Materials. In this work, we investigate relationships between 3D microstructure and effective diffusivity and permeability, based on a dataset of 90,000 structures and using analytical formulas, artificial neural networks (ANNs), and convolutional neural networks (CNNs). Herein, the codes in Matlab and Python/Tensorflow necessary to investigate the prediction models and reproduce the results of the paper are supplied. Also, microstructures together with their computed geometrical descriptors and effective properties are included.</p>