Dataset for publication: Statistically Equivalent Virtual Microstructures for Modeling of Complex Polycrystalline Alloys Using a Generative Adversarial Network (GAN)-Enabled Computational Platform

This dataset provides the necessary data to get the images and results shown in the paper "Statistically Equivalent Virtual Microstructures for Modeling of Complex Polycrystalline Alloys Using a Generative Adversarial Network (GAN)-Enabled Computational Platform". Source Data Raw.zip has the entire data set used to generate the images. Source Data.zip contains the processed data from "Source Data Raw.zip". Files with extension .dream3d are accompained by a file with extension .xdmf. This files can be opened with Paraview. And their data can be accesible using python or matlab. For more information contact Proffesor Somnath Ghosh at Johns Hopkins University, Civil and Systems Engineering Department.