Machine learning facilitated by microscopic features for discovery of novel magnetic double perovskites
Author:
Affiliation:
1. Leibniz Institute for Solid State and Materials Research IFW Dresden, Helmholtzstraße 20, Dresden 01069, Germany
2. Department of Physics, Technical University Dresden, Dresden 01069, Germany
Abstract
Funder
Deutsche Forschungsgemeinschaft
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2024/TA/D3TA05679A
Reference37 articles.
1. Microscopic theory of spin-polarization coupling in multiferroic transition metal oxides
2. Topological insulators from complex orbital order in transition-metal oxides heterostructures
3. Room-temperature magnetoresistance in an oxide material with an ordered double-perovskite structure
4. Origin of magnetic excitation gap in double perovskite Sr2FeOsO6
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