Magnetic Skyrmion as a Nonlinear Resistive Element: A Potential Building Block for Reservoir Computing

Diana Prychynenko, Matthias Sitte, Kai Litzius, Benjamin Krüger, George Bourianoff, Mathias Kläui, Jairo Sinova, Karin Everschor-Sitte

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

Inspired by the human brain, there is a strong effort to find alternative models of information processing capable of imitating the high energy efficiency of neuromorphic information processing. One possible realization of cognitive computing involves reservoir computing networks. These networks are built out of nonlinear resistive elements which are recursively connected. We propose that a Skyrmion network embedded in magnetic films may provide a suitable physical implementation for reservoir computing applications. The significant key ingredient of such a network is a two-terminal device with nonlinear voltage characteristics originating from magnetoresistive effects, such as the anisotropic magnetoresistance or the recently discovered noncollinear magnetoresistance. The most basic element for a reservoir computing network built from "Skyrmion fabrics" is a single Skyrmion embedded in a ferromagnetic ribbon. In order to pave the way towards reservoir computing systems based on Skyrmion fabrics, we simulate and analyze (i) the current flow through a single magnetic Skyrmion due to the anisotropic magnetoresistive effect and (ii) the combined physics of local pinning and the anisotropic magnetoresistive effect.

Original languageEnglish
Article number014034
JournalPhysical Review Applied
Volume9
Issue number1
DOIs
Publication statusPublished - Jan 31 2018

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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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, 9(1), [014034]. https://doi.org/10.1103/PhysRevApplied.9.014034