# Automating the method for correlation selection of perovskites

## Main Article Content

## Abstract

*In this paper it is proposed a new approach which allows **automating the selection of perovskites ABO*_{3}*, which do not exhibit the required properties. **First of all we use the procedure for determining the correlation «the descriptor - **composition of the perovskite compound» and investigate compounds with high ionic **conductivity (σ). The features of known descriptors that allow optimizing the parameters of **perovskites ABO*_{3 }*are also discussed. While calculating the correlations we used a descriptor **that consists of the ratio of ionic radii R*_{A}*/R*_{B }*and potentials of ionization of valence electrons **V*_{A}*/V*_{B }*of A and B cations. Special attention is given to determination of correlation between **the descriptor and σ by using a special computer program, which has been developed for the **selection of perovskites that provide the large correlation coefficients and hence high ionic **conductivity.**The computer program automatically performs correlation selection procedure for **perovskites by consistent realizing the following steps:**1. The linear approximation of the full set of points based on the regression analysis.**2. Calculation of the correlation coefficient. 3. To search for "worst" point from the full **set of points by sorting them and removing the "worst" point. 3.1. For each remote point **repeated linear approximation of points is performed and the correlation coefficient for a set **of remaining points is calculated. 3.2. Based on the found set of correlation coefficients the **"worst" point is determined. 4. The "worst" points are sequentially removed as long as the **correlation coefficient reaches the desired magnitude.**More over there have been analyzed the features of remote compounds that distinguish **them from the main array.*

## Article Details

## References

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