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Assessment of magnetic properties of A2B'B''O6 double perovskites by multivariate data analysis techniques
Taneli Tiittanen1, Sami Vasala, Maarit Karppinen
1Department of Chemistry and Materials Science, Aalto University, FI-00076 Espoo, Finland. maarit.karppinen@aalto.fi.
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.