Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of “Never Enough Training Data”
This research presents a novel approach to analyzing crystalline defects in metallic devices using deep learning. The authors developed a parametric model for generating synthetic training data to segment dislocations,…
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