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  Giant anomalous Hall and Nernst effect in magnetic cubic Heusler compounds

Noky, J., Zhang, Y., Gooth, J., Felser, C., & Sun, Y. (2020). Giant anomalous Hall and Nernst effect in magnetic cubic Heusler compounds. npj Computational Materials, 6: 77, pp. 1-8. doi:10.1038/s41524-020-0342-5.

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 Creators:
Noky, Jonathan1, Author           
Zhang, Yang1, Author           
Gooth, Johannes2, Author           
Felser, Claudia3, Author           
Sun, Yan1, Author           
Affiliations:
1Inorganic Chemistry, Max Planck Institute for Chemical Physics of Solids, Max Planck Society, ou_1863425              
2Nanostructured Quantum Matter, Max Planck Institute for Chemical Physics of Solids, Max Planck Society, ou_3018212              
3Claudia Felser, Inorganic Chemistry, Max Planck Institute for Chemical Physics of Solids, Max Planck Society, ou_1863429              

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Free keywords: Electronic structure, Topology, Anomalous hall effects, Anomalous transport, Heusler compound, Intrinsic contribution, Linear response, Nernst effect, Spin-orbitals, Topological features, Spin Hall effect
 Abstract: The interplay of magnetism and topology opens up the possibility for exotic linear response effects, such as the anomalous Hall effect and the anomalous Nernst effect, which can be strongly enhanced by designing a large Berry curvature in the electronic structure. Magnetic Heusler compounds are a promising class of materials for this purpose because they are versatile, show magnetism, and their electronic structure hosts strong topological features. Here, we provide a comprehensive study of the intrinsic anomalous transport for magnetic cubic full Heusler compounds and we illustrate that several Heusler compounds outperform the best so far reported materials. The results reveal the importance of symmetries, especially mirror planes, in combination with magnetism for giant anomalous Hall and Nernst effects, which should be valid in general for linear responses (spin Hall effect, spin orbital torque, etc.) dominated by intrinsic contributions. © 2020, The Author(s).

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Language(s): eng - English
 Dates: 2020-06-052020-06-05
 Publication Status: Issued
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 Identifiers: DOI: 10.1038/s41524-020-0342-5
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Title: npj Computational Materials
  Abbreviation : npj Comput. Mater.
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 6 Sequence Number: 77 Start / End Page: 1 - 8 Identifier: ISSN: 2057-3960
CoNE: https://pure.mpg.de/cone/journals/resource/2057-3960