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2005 | 3 | 1 | 198-215
Tytuł artykułu

Prediction of the unit cell edge length of cubic A22+BB′O6 perovskites by multiple linear regression and artificial neural networks

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The unit cell edge length, a, of a set of complex cubic perovskites having the general formula A22+BB′O6 is predicted using two methodologies: multiple linear regression and artificial neural neworks. The unit cell edge length is expressed as a function of six independent variables: the effective ionic radii of the constituents (A, B and B′), the electronegativities of B and B′, and the oxidation state of B. In this analysis, 147 perovskites of the A22+BB′O6 type, having the cubic structure and belonging to the Fm3m space group, are included. They are divided in two sets; 98 compounds are used in the calibration set and 49 are used in the test set. Both models give consistent results and could be successfully use to predict the lattice cell parameter of new members of this series.
Wydawca

Czasopismo
Rocznik
Tom
3
Numer
1
Strony
198-215
Opis fizyczny
Daty
wydano
2005-03-01
online
2005-03-01
Twórcy
  • Institute of Chemistry, Faculty of Natural Sciences and Mathematics, University “Sv. Kiril i Metodij”, PO Box 162, 1001, Skopje, Republic of Macedonia, sandra@iunona.pmf.ukim.edu.mk
  • Institute of Chemistry, Faculty of Natural Sciences and Mathematics, University “Sv. Kiril i Metodij”, PO Box 162, 1001, Skopje, Republic of Macedonia, shigor@iunona.pmf.ukim.edu.mk
  • Institute of Chemistry, Faculty of Natural Sciences and Mathematics, University “Sv. Kiril i Metodij”, PO Box 162, 1001, Skopje, Republic of Macedonia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_BF02476250
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