The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Magnetic Skyrmion as a Nonlinear Resistive Element: A Potential Building Block for Reservoir Computing
Open accessAbstract
The topologically protected magnetic textures called skyrmions may provide a suitable basis for $r\phantom{\rule{0}{0ex}}e\phantom{\rule{0}{0ex}}s\phantom{\rule{0}{0ex}}e\phantom{\rule{0}{0ex}}r\phantom{\rule{0}{0ex}}v\phantom{\rule{0}{0ex}}o\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}r$ $c\phantom{\rule{0}{0ex}}o\phantom{\rule{0}{0ex}}m\phantom{\rule{0}{0ex}}p\phantom{\rule{0}{0ex}}u\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}n\phantom{\rule{0}{0ex}}g$, one approach to brain-inspired cognitive computing. Reservoirs of self-organized skyrmions offer potential advantages in size, efficiency, and complexity, compared to systems of memristive devices, quantum-dot lasers, and atomic switches. The basic element here is an isolated skyrmion in a ferromagnetic ribbon; thus the authors examine current flow through magnetic skyrmions based on anisotropic magnetoresistance, analyzing the nonlinear current-voltage characteristics. The scheme they provide offers a path to spintronic neuromorphic computing.
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Citations
Cites
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Skyrmion Lattice in a Chiral Magnet
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Topological properties and dynamics of magnetic skyrmions
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Real-space observation of a two-dimensional skyrmion crystal
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Cited by
Recent advances in physical reservoir computing: A review
Tanaka, G., Yamane, T., Héroux, J. B., Nakane, R., Kanazawa, N., Takeda, S., Numata, H., Nakano, D., & Hirose, A. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.03.005 · Cited by 2,146
A comprehensive review on emerging artificial neuromorphic devices
Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 758
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
Self-citationMilano, G., Pedretti, G., Montano, K., Ricci, S., Hashemkhani, S., Boarino, L., Ielmini, D., & Ricciardi, C. (2022) · Nature Materials · doi:10.1038/s41563-021-01099-9 · Cited by 462
Metadata
- Authors
- Prychynenko, D., Sitte, M., Litzius, K., Krüger, B., Bourianoff, G., Kläui, M., Sinova, J., & Everschor-Sitte, K.
- Venue
- Physical Review Applied
- Publisher
- American Physical Society (APS)
- Published
- 2018-01-31
- Volume
- 9
- Issue
- 1
- ISSN
- 2331-7019 (ISSN-L)
- OpenAlex
- W2635159431
- Cited by
- 293
- References
- 59
- FWCI
- 15.77
- Type
- journal article
- Language
- en
- Open access
- green
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- Prychynenko, D., Sitte, M., Litzius, K., Krüger, B., Bourianoff, G., Kläui, M., Sinova, J., & Everschor-Sitte, K. (2018). Magnetic Skyrmion as a Nonlinear Resistive Element: A Potential Building Block for Reservoir Computing. Physical Review Applied. https://doi.org/10.1103/physrevapplied.9.014034
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