Тип публикации: статья из журнала
Год издания: 2012
Идентификатор DOI: 10.1134/S0020168512140208
Ключевые слова: quantitative X-ray analysis, evolutionary optimization, genetic algorithms, the method of Rietveld full-profile diffraction analysis, Diffraction analysis, Evolutionary optimizations, Multiobjective evolutionary optimization, R factor, Round Robin, Structural parameter, Structure-sensitive, Test mixtures, X-ray phase analysis, Factor analysis, Multiobjective optimization, Polycrystalline materials, Probabilistic logics, Rietveld method, X rays
Аннотация: A method of quantitative X-ray phase analysis (QXPA) based on multiobjective evolutionary optimization for automatization and increase in accuracy of QXPA that is based on full-profile analysis by the Rietveld method is proposed. The two-level genetic algorithm performs the probabilistic evolution of profile and structural parameters by the criterion of minimization of the profile R factor and controls their refinement by the method of full-profile difference-differential analysis (a version of the Rietveld method). The method of evolutional QXPA is discussed by an example of a test mixture of minerals that was used in Round Robin on QPA CPD IUCr.
Издание
Журнал: INORGANIC MATERIALS
Выпуск журнала: Vol. 48, Is. 14
Номера страниц: 1285-1290
ISSN журнала: 00201685
Место издания: NEW YORK
Издатель: MAIK NAUKA/INTERPERIODICA/SPRINGER
Персоны
- Yakimov I.S. (Siberian Federal University)
- Zaloga A.N. (Siberian Federal University)
- Yakimov Y.I. (Siberian Federal University)
- Solov'ev L.A. (Institute of Chemistry and Chemical Technologies,Siberian Branch,Russian Academy of Sciences)
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