most citedExplainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

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physics.comp-ph2019

Predicting Compressive Strength of Consolidated Molecular Solids Using Computer Vision and Deep Learning

Brian Gallagher, Matthew Rever, Donald Loveland +6

We explore the application of computer vision and machine learning (ML) techniques to predict material properties (e.g. compressive strength) based on SEM images. We show that it's…