This repository is intended to host the supplementary material (dataset and scripts) associated with the article “Optimization of magnetoelectric composites using convolutional neural networks”. The HDF5 file 'Microstructure_data.h5' contains the dataset of microstructural images and their effective properties of interest, computed using the finite element method. The individual archive files represent specific deep learning tasks discussed in the associated article. They contain the scripts for building, training, and evaluating the Deep-Inception-based surrogate models for each task.

The document 'README.pdf' summarizes all the necessary information pertaining to the effective usage of this repository such as the contents of the HDF5 file and the various archive files, the required Python libraries, and the procedure to execute the scripts. We recommend reading this document first before proceeding further.

FEAP - A Finite Element Analysis Program, 8.4