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PCB method applied to material design—computer‐aided synthesis of BiPbSrCaCuOF superconductor
Author(s) -
Liu HongLin,
Chen Yu,
Chen NianYi
Publication year - 1994
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180080608
Subject(s) - subspace topology , principal component analysis , inverse , component (thermodynamics) , superconductivity , inverse problem , point (geometry) , ceramic , boundary (topology) , process (computing) , computer science , mathematics , algorithm , mathematical analysis , materials science , geometry , physics , artificial intelligence , composite material , thermodynamics , condensed matter physics , operating system
An inverse mapping method called PCB (principal component backing), in which the point representing an unknown sample from a low‐dimensional principal component subspace is back‐projected to the high‐dimensional original feature space, is proposed. Two sorts of boundary conditions, non‐linear inverse mapping and linear inverse mapping, are used to obtain an accurate solution in the PCB method. The method is applied to the material design of high‐ T c superconductors, predicting the composition and process conditions for the synthesis of F‐doped Bi‐based materials. Samples in the ‘optimal’ region with the highest T c of the Bi‐based ceramics have been predicted.