Crystallographic phase identifier of a convolutional self-attention neural network (CPICANN) on powder diffraction patterns
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Spectroscopic data, particularly diffraction data, are essential for materials characterization due to their comprehensive crystallographic information. The current crystallographic phase identification, however, is very time consuming. To address this challen... ...
