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A semi-supervised deep-learning approach for automatic crystal structure classification

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A semi-supervised model to predict crystal structures from powder neutron diffraction patterns has been developed. The models have higher accuracies than current approaches while covering more space groups. Click to show full abstract

A semi-supervised model to predict crystal structures from powder neutron diffraction patterns has been developed. The models have higher accuracies than current approaches while covering more space groups.

Keywords: semi; semi supervised; approach automatic; deep learning; learning approach; supervised deep

Journal Title: Journal of Applied Crystallography
Year Published: 2022

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