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 ...
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 ...
MapSweeper software revolutionizes EBSD analysis by overcoming traditional indexing limitations, enhancing accuracy and speed in materials characterization.
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