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Spectroscopic data, particularly diffraction data, contain detailed crystal and microstructure information and thus are crucial for materials discovery.
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A deep learning approach to powder x-ray diffraction pattern analysis: Addressing generalizability and perturbation issues simultaneously
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X-ray diffraction line profile analysis of nanostructured nickel oxide: Shape factor and convolution of crystallite size and microstrain contributions
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Crystal structure assignment for unknown compounds from x-ray diffraction patterns with deep learning
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