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Skyrmions in magnetic multilayers
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Abstract Symmetry breaking together with strong spin–orbit interaction gives rise to many exciting phenomena within condensed matter physics. A recent example is the existence of chiral spin textures, which are observed in magnetic systems lacking inversion symmetry. These chiral spin textures, including domain walls and magnetic skyrmions, are both fundamentally interesting and technologically promising. For example, they can be driven very efficiently by electrical currents, and exhibit many new physical properties determined by their real-space topological characteristics. Depending on the details of the competing interactions, these spin textures exist in different parameter spaces. However, the governing mechanism underlying their physical behaviors remains essentially the same. In this review article, the fundamental topological physics underlying these chiral spin textures, the key factors for materials optimization, and current developments and future challenges will be discussed. In the end, a few promising directions that will advance the development of skyrmion based spintronics will be highlighted.
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Do Images of Biskyrmions Show Type‐II Bubbles?
Loudon, J. C., Twitchett‐Harrison, A. C., Cortés‐Ortuño, D., Birch, M. T., Turnbull, L. A., Štefančič, A., Ogrin, F. Y., Burgos‐Parra, E. O., Bukin, N., Laurenson, A., et al. (2019) · Advanced Materials · doi:10.1002/adma.201806598 · Cited by 98
Metadata
- Authors
- Jiang, W., Chen, G., Liu, K., Zang, J., te Velthuis, S. G. E., & Hoffmann, A.
- Venue
- Physics Reports
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 704
- Pages
- 1-49
- ISSN
- 0370-1573 (ISSN-L)
- OpenAlex
- W2747653033
- Cited by
- 566
- References
- 232
- FWCI
- 28.59
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.