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

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Researchers

Research units

  • Technische Universität Darmstadt

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.

Details

Original languageEnglish
Pages (from-to)1722-1725
Number of pages4
JournalChemical Communications
Volume55
Issue number12
Publication statusPublished - 1 Jan 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • CRYSTAL-STRUCTURE, ANODE MATERIALS, PRESSURE, MAGNETORESISTANCE, TEMPERATURE, OXIDES

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