Evidence map›Paper›PMID 36379941›Full record

ArticleNature communications2022

Brownian reservoir computing realized using geometrically confined skyrmion dynamics.

Klaus Raab, Maarten A Brems, Grischa Beneke, Takaaki Dohi, Jan Rothörl, Fabian Kammerbauer, Johan H Mentink, Mathias Kläui

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Metrics for spin-based computing.Nature reviews. Physics · 2026
    Article
  4. Logic Gates Based on Skyrmions.Nanomaterials (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Article
  7. Controlled Formation of Skyrmion Bags.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  8. Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Klaus RaabInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany.
Maarten A BremsInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany.ORCID http://orcid.org/0000-0002-0210-508X
Grischa BenekeInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany.
Takaaki DohiInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany.ORCID http://orcid.org/0000-0003-1628-0097
Jan RothörlInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany.ORCID http://orcid.org/0000-0002-1984-0064
Fabian KammerbauerInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany.ORCID http://orcid.org/0000-0002-5762-2762
Johan H MentinkRadboud University, Institute for Molecules and Materials, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands. J.Mentink@science.ru.nl.ORCID http://orcid.org/0000-0002-4082-1984
Mathias KläuiInstitut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128, Mainz, Germany. Klaeui@uni-mainz.de.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 268565370Deutsche Forschungsgemeinschaft (German Research Foundation) 403502522Deutsche Forschungsgemeinschaft (German Research Foundation) 49741853EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101070290EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 863155
6 · The paper itself

Abstract

Reservoir computing (RC) has been considered as one of the key computational principles beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures in magnetic films are particularly promising for implementing RC, since they respond strongly nonlinearly to external stimuli and feature inherent multiscale dynamics. However, despite several theoretical proposals that exist for skyrmion reservoir computing, experimental realizations have been elusive until now. Here, we propose and experimentally demonstrate a conceptually new approach to skyrmion RC that leverages the thermally activated diffusive motion of skyrmions. By confining the electrically gated and thermal skyrmion motion, we find that already a single skyrmion in a confined geometry suffices to realize nonlinearly separable functions, which we demonstrate for the XOR gate along with all other Boolean logic gate operations. Besides this universality, the reservoir computing concept ensures low training costs and ultra-low power operation with current densities orders of magnitude smaller than those used in existing spintronic reservoir computing demonstrations. Our proposed concept is robust against device imperfections and can be readily extended by linking multiple confined geometries and/or by including more skyrmions in the reservoir, suggesting high potential for scalable and low-energy reservoir computing.

Identifiers

PMID36379941
PMCPMC9666653

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.