Image-based Data on Strain Fields of Microstructures with Porosity Defects_1

This is a part of supplementary data for the Data in Brief article co-submitted alongside the aforementioned paper in Computational Material Science Journal. The data file is a MATLAB Binary Data Compressed file (.mat) that contains images of microstructures and their respective strain fields represented as two-dimensional arrays.

This data is utilized for training a convolutional neural network to predict strain fields within a microstructure, through image colorization algorithm. This data contains image data of 1000 samples of microstructures with 100 circular porosity defects having their radii uniformly distributed in the range 0.1 – 0.5 mm, and their corresponding strain fields.