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Accelerating the phase identification of multiphase mixtures with deep learning

Researchers propose a machine learning model that identifies a new Al–Si–Ru i-QC phase. With the potential for extended applications for identification of other structures like decagonal and ...
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Enhancing EBSD analysis with MapSweeper software for faster phase identification

In this interview, AZoMaterials speaks with Dr. Mark Coleman, EBSD Product Manager at Oxford Instruments NanoAnalysis, about how the MapSweeper software enhances electron backscatter diffraction (EBSD ...
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Deep Learning Model Detects a Previously Unknown Quasicrystalline Phase

Crystalline materials are made up of atoms, ions, or molecules arranged in an ordered, three-dimensional structure. They are widely used for the development of semiconductors, pharmaceuticals, ...
Natural History Museum%2c London

X-ray diffraction

The X-ray diffraction (XRD) facility comprises several state-of-the-art instruments used for phase identification, quantification and crystal structure analysis. Our laboratory specialises in the ...
technologynetworks

X-Ray Diffraction (XRD) – XRD Principle, XRD Analysis and Applications

X-ray diffraction (XRD) is a powerful non-destructive analytical technique used to evaluate crystalline materials and determine their structural properties. As one of the most widely used ...