Researchers from Tokyo University of Science Developed a Deep Learning Model that can Detect a Previously Unknown Quasicrystalline Phase in Materials Science

The quest to uncover novel crystalline structures in materials has long been a cornerstone of scientific exploration, holding critical implications across diverse industries ranging from electronics to pharmaceuticals. Crystalline materials, defined by their ordered atomic arrangements, play an important role in technological advancements. Identifying and characterizing these structures accurately has conventionally relied on methods like […]

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