Particle size analysis is crucial to quality control and product development in a number of key industries including aerosols, construction, food and beverage, paint and coatings, and pharmaceuticals.
To bolster the accuracy of existing methods for automated phase identification from X-ray diffraction (XRD) patterns, we introduce a machine learning approach that uses a dual representation whereby ...
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