Assessment of magnetic properties of A2B′B′′O6 double perovskites by multivariate data analysis techniques

Abstract

Multivariate data analysis is a promising tool for structure–property data mining and new-material prediction in the field of inorganic materials chemistry. Here we demonstrate its usability in assessing the magnetic properties of one of the most intriguing and plural functional inorganic material families, the ordered perovskite oxides of the A₂B′B′′O₆ type.