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  Chiral logic computing with twisted antiferromagnetic magnon modes

Jia, C., Chen, M., Schäffer, A. F., & Berakdar, J. (2021). Chiral logic computing with twisted antiferromagnetic magnon modes. npj Computational Materials, 7: 101. doi:10.1038/s41524-021-00570-0.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-DC21-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-DC22-8
Genre: Journal Article

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https://doi.org/10.1038/s41524-021-00570-0 (Publisher version)
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 Creators:
Jia, Chenglong1, Author
Chen, Min1, Author
Schäffer, Alexander F.1, 2, Author
Berakdar, Jamal1, Author
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1External Organizations, ou_persistent22              
2International Max Planck Research School for Science and Technology of Nano-Systems, Max Planck Institute of Microstructure Physics, Max Planck Society, Weinberg 2, 06120 Halle (Saale), Germany, ou_3399928              

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 Abstract: Antiferromagnetic (AFM) materials offer an exciting platform for ultrafast information handling with low cross-talks and compatibility with existing technology. Particularly interesting for low-energy cost computing is the spin wave-based realization of logic gates, which has been demonstrated experimentally for ferromagnetic waveguides. Here, we predict chiral magnonic eigenmodes with a finite intrinsic, magnonic orbital angular momentum ℓ in AFM waveguides. ℓ is an unbounded integer determined by the spatial topology of the mode. We show how these chiral modes can serve for multiplex AFM magnonic computing by demonstrating the operation of several symmetry- and topology-protected logic gates. A Dzyaloshinskii–Moriya interaction may arise at the waveguide boundaries, allowing coupling to external electric fields and resulting in a Faraday effect. The uncovered aspects highlight the potential of AFM spintronics for swift data communication and handling with high fidelity and at a low-energy cost.

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 Dates: 2021-07-05
 Publication Status: Published online
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 Identifiers: DOI: 10.1038/s41524-021-00570-0
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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: 7 Sequence Number: 101 Start / End Page: - Identifier: ISSN: 2057-3960
CoNE: https://pure.mpg.de/cone/journals/resource/2057-3960