Evidence map›Paper›PMID 36179033›Full record

ArticleScience advances2022

Pattern recognition with neuromorphic computing using magnetic field-induced dynamics of skyrmions.

Tomoyuki Yokouchi, Satoshi Sugimoto, Bivas Rana, Shinichiro Seki, Naoki Ogawa, Yuki Shiomi, Shinya Kasai, Yoshichika Otani

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
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  4. Current-Driven Nonreciprocal Response of Nonequilibrium Skyrmions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
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  7. Metrics for spin-based computing.Nature reviews. Physics · 2026
    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.

Tomoyuki YokouchiRIKEN Center for Emergent Matter Science (CEMS), Wako 351-0198, Japan.ORCID 0000-0003-4078-2740
Satoshi SugimotoNational Institute for Materials Science (NIMS), Tsukuba 305-0047, Japan.ORCID 0000-0002-7148-2372
Bivas RanaRIKEN Center for Emergent Matter Science (CEMS), Wako 351-0198, Japan.ORCID 0000-0002-1076-4165
Shinichiro SekiRIKEN Center for Emergent Matter Science (CEMS), Wako 351-0198, Japan.ORCID 0000-0001-6094-8643
Naoki OgawaRIKEN Center for Emergent Matter Science (CEMS), Wako 351-0198, Japan.
Yuki ShiomiDepartment of Basic Science, The University of Tokyo, Tokyo 152-8902, Japan.ORCID 0000-0002-2446-2205
Shinya KasaiNational Institute for Materials Science (NIMS), Tsukuba 305-0047, Japan.ORCID 0000-0001-7149-4800
Yoshichika OtaniRIKEN Center for Emergent Matter Science (CEMS), Wako 351-0198, Japan.ORCID 0000-0001-8008-1493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonlinear phenomena in physical systems can be used for brain-inspired computing with low energy consumption. Response from the dynamics of a topological spin structure called skyrmion is one of the candidates for such a neuromorphic computing. However, its ability has not been well explored experimentally. Here, we experimentally demonstrate neuromorphic computing using nonlinear response originating from magnetic field-induced dynamics of skyrmions. We designed a simple-structured skyrmion-based neuromorphic device and succeeded in handwritten digit recognition with the accuracy as large as 94.7% and waveform recognition. Notably, there exists a positive correlation between the recognition accuracy and the number of skyrmions in the devices. The large degrees of freedom of skyrmion systems, such as the position and the size, originate from the more complex nonlinear mapping, the larger output dimension, and, thus, high accuracy. Our results provide a guideline for developing energy-saving and high-performance skyrmion neuromorphic computing devices.

Identifiers

PMID36179033
PMCPMC9524829

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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.