Inferring low-dimensional microstructure representations using convolutional neural networks

8 Nov 2016Nicholas LubbersTurab LookmanKipton Barros

We apply recent advances in machine learning and computer vision to a central problem in materials informatics: The statistical representation of microstructural images. We use activations in a pre-trained convolutional neural network to provide a high-dimensional characterization of a set of synthetic microstructural images... (read more)

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