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 ...
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 55, No. 3, Special Issue Dedicated to the Memory of P. C. Mahalanobis (Dec., 1993), pp. 297-309 (13 pages) Estimation procedures ...
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, ...
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 ...
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