Evidence map›Paper›PMID 37301906›Full record

ArticleNature communications2023

Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system.

Yiming Sun, Tao Lin, Na Lei, Xing Chen, Wang Kang, Zhiyuan Zhao, Dahai Wei, Chao Chen, Simin Pang, Linglong Hu and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Room-Temperature Skyrmionic Synapse in 2D Ferromagnet FeAdvanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Metrics for spin-based computing.Nature reviews. Physics · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Intrinsic Disordered Network in Multiferroic YMnOSmall (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  13. Article
  14. Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. Article
  17. A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Article
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

23 authors.

Yiming Sun *Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-5828-8516
Tao Lin *Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Na Lei *Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China. na.lei@buaa.edu.cn.ORCID http://orcid.org/0000-0003-3113-3490
Xing Chen *Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Wang KangFert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Zhiyuan ZhaoState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Dahai WeiState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Chao ChenFert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Simin PangState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Linglong HuKey Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China.
Liu YangFert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Enxuan DongFert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Li ZhaoThe Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing, 100875, China.
Lei LiuState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.ORCID http://orcid.org/0000-0003-1961-7927
Zhe YuanThe Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0002-1898-7857
Aladin UllrichInstitute of Physics, University of Augsburg, Augsburg, 86159, Germany.ORCID http://orcid.org/0000-0003-0486-0975
Christian H BackDepartment of Physics, Technical University of Munich, Garching, 85748, Germany.ORCID http://orcid.org/0000-0003-3840-0993
Jun ZhangState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.ORCID http://orcid.org/0000-0002-9831-6796
Dong PanState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.ORCID http://orcid.org/0000-0003-2067-6983
Jianhua ZhaoState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Ming FengKey Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China. mingfeng@jlnu.edu.cn.ORCID http://orcid.org/0000-0001-5921-0190
Albert FertFert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.ORCID http://orcid.org/0000-0003-0670-8539
Weisheng ZhaoFert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.ORCID http://orcid.org/0000-0001-8088-0404

Funding

Beijing Nova Program Z201100006820042Beijing Nova Program Z211100002121014Deutsche Forschungsgemeinschaft (German Research Foundation) BA 2181/21-1National Natural Science Foundation of China (National Science Foundation of China) 11874349National Natural Science Foundation of China (National Science Foundation of China) 12074025National Natural Science Foundation of China (National Science Foundation of China) 21978110National Natural Science Foundation of China (National Science Foundation of China) 51772126National Natural Science Foundation of China (National Science Foundation of China) 52061135105National Natural Science Foundation of China (National Science Foundation of China) 52171210National Natural Science Foundation of China (National Science Foundation of China) 61871008
6 · The paper itself

Abstract

Physical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects have attracted considerable interest regarding solving complex tasks efficiently. Particularly, spintronic and strain-mediated electronic physical reservoirs are appealing due to their high speed, multi-parameter fusion and low power consumption. Here, we experimentally realize a skyrmion-enhanced strain-mediated physical reservoir in a multiferroic heterostructure of Pt/Co/Gd multilayers on (001)-oriented 0.7PbMg

Indexed as

ElectronicsGlassRecognition, PsychologyTime Factors

Identifiers

PMID37301906
PMCPMC10257712

What OpenQuestion holds

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Registered trials

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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.