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Deep Learning s Role in Phase Identification

In a pioneering move, Tokyo University of Science has made a remarkable stride in material science. Their latest development involves a deep learning model adept at pinpointing new quasicrystalline phases in multiphase crystalline materials, a feat previously mired in complexity and time constraints.

Deep Learning Speeds Up Identification of Multiphase Mixtures

Deep Learning Speeds Up Identification of Multiphase Mixtures
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