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Cited by 1,490

The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.

Review on spintronics: Principles and device applications

Open access
Hirohata, Atsufumi, Yamada, Keisuke, Nakatani, Yoshinobu, Prejbeanu, Ioan-Lucian, Diény, Bernard, Pirro, Philipp, Hillebrands, Burkard·2020·Journal of Magnetism and Magnetic Materials

Abstract

Spintronics is one of the emerging fields for the next-generation nanoelectronic devices to reduce their power consumption and to increase their memory and processing capabilities. Such devices utilise the spin degree of freedom of electrons and/or holes, which can also interact with their orbital moments. In these devices, the spin polarisation is controlled either by magnetic layers used as spin-polarisers or analysers or via spin–orbit coupling. Spin waves can also be used to carry spin current. In this review, the fundamental physics of these phenomena is described first with respect to the spin generation methods as detailed in Sections 2 ~ 9. The recent development in their device applications then follows in Sections 10 and 11. Future perspectives are provided at the end.

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Metadata

Authors
Hirohata, A., Yamada, K., Nakatani, Y., Prejbeanu, I.-L., Diény, B., Pirro, P., & Hillebrands, B.
Venue
Journal of Magnetism and Magnetic Materials
Publisher
Elsevier BV
Published
2020-09
Volume
509
Pages
166711
ISSN
0304-8853 (ISSN-L)
OpenAlex
W3010394536
Cited by
1,490
References
190
FWCI
72.83
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Review on spintronics: Principles and device applications. https://app.cochat.ai/papers/10.1016/j.jmmm.2020.166711
The paper
Hirohata, A., Yamada, K., Nakatani, Y., Prejbeanu, I.-L., Diény, B., Pirro, P., & Hillebrands, B. (2020). Review on spintronics: Principles and device applications. Journal of Magnetism and Magnetic Materials. https://doi.org/10.1016/j.jmmm.2020.166711

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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.