Published: 12 February 2021| Version 2 | DOI: 10.17632/v6dt8dwrh8.2
Dataset for training and testing models described in Recurrent Localization Networks applied to the Lippmann-Schwinger Equation (https://arxiv.org/abs/2102.00063), accepted in Computational Materials Science. Contains 3D synthetic microstructures and strain fields (generation described in paper) for elastic stiffness contrast ratios 10 and 50. All fields are 31x31x31 voxels.
Steps to reproduce
Microstructures generated using PyMKS. Strain fields generated using Abaqus. See paper for generation details.
Georgia Institute of Technology
Computational Materials Science, Machine Learning