The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Electric-field-driven switching of individual magnetic skyrmions
Open accessAbstract
Controlling magnetism with electric fields is a key challenge to develop future energy-efficient devices. The present magnetic information technology is mainly based on writing processes requiring either local magnetic fields or spin torques, but it has also been demonstrated that magnetic properties can be altered on the application of electric fields. This has been ascribed to changes in magnetocrystalline anisotropy caused by spin-dependent screening and modifications of the band structure, changes in atom positions or differences in hybridization with an adjacent oxide layer. However, the switching between states related by time reversal, for example magnetization up and down as used in the present technology, is not straightforward because the electric field does not break time-reversal symmetry. Several workarounds have been applied to toggle between bistable magnetic states with electric fields, including changes of material composition as a result of electric fields. Here we demonstrate that local electric fields can be used to switch reversibly between a magnetic skyrmion and the ferromagnetic state. These two states are topologically inequivalent, and we find that the direction of the electric field directly determines the final state. This observation establishes the possibility to combine electric-field writing with the recently envisaged skyrmion racetrack-type memories.
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Citations
Cites
Multiferroic and magnetoelectric materials
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Magnetic Domain-Wall Racetrack Memory
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Topological properties and dynamics of magnetic skyrmions
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Spontaneous atomic-scale magnetic skyrmion lattice in two dimensions
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Self-citationNucleation, stability and current-induced motion of isolated magnetic skyrmions in nanostructures
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Writing and Deleting Single Magnetic Skyrmions
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Self-citationLarge voltage-induced magnetic anisotropy change in a few atomic layers of iron
Maruyama, T., Shiota, Y., Nozaki, T., Ohta, K., Toda, N., Mizuguchi, M., Tulapurkar, A. A., Shinjo, T., Shiraishi, M., Mizukami, S., et al. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2008.406 · Cited by 1,336
Spin Transfer Torques in MnSi at Ultralow Current Densities
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Electric Field-Induced Modification of Magnetism in Thin-Film Ferromagnets
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Cited by
Tokura, Y., & Kanazawa, N. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00297 · Cited by 726
Perspective: Magnetic skyrmions—Overview of recent progress in an active research field
Everschor-Sitte, K., Masell, J., Reeve, R. M., & Kläui, M. (2018) · Journal of Applied Physics · doi:10.1063/1.5048972 · Cited by 601
Wang, Y., Wang, L., Xia, J., Lai, Z., Tian, G., Zhang, X., Hou, Z., Gao, X., Mi, W., Feng, C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17354-7 · Cited by 303
Theory of paraxial optical skyrmions
Ye, Z., Barnett, S. M., Franke-Arnold, S., Götte, J. B., McWilliam, A., Speirits, F. C., & Cisowski, C. M. (2024) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2024.0109 · Cited by 34
Metadata
- Authors
- Hsu, P.-J., Kubetzka, A., Finco, A., Romming, N., von Bergmann, K., & Wiesendanger, R.
- Venue
- Nature Nanotechnology
- Published
- 2016-11-07
- Volume
- 12
- Issue
- 2
- Pages
- 123-126
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W2290947862
- Cited by
- 369
- References
- 18
- FWCI
- 19.53
- Type
- journal article
- Language
- en
- Open access
- green
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- Hsu, P.-J., Kubetzka, A., Finco, A., Romming, N., von Bergmann, K., & Wiesendanger, R. (2017). Electric-field-driven switching of individual magnetic skyrmions. Nature Nanotechnology. https://doi.org/10.1038/nnano.2016.234
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
