Evidence map›Paper›PMID 36460675›Full record

ArticleNature communications2022

Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics.

Tianyu Wang, Jialin Meng, Xufeng Zhou, Yue Liu, Zhenyu He, Qi Han, Qingxuan Li, Jiajie Yu, Zhenhai Li, Yongkai Liu and 6 more

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 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
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  11. Review
  12. Article
  13. Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  14. Review
  15. Molecular crystal memristors.Nature nanotechnology · 2025
    Article
  16. Article
  17. Steep-Slope CuInPAdvanced materials (Deerfield Beach, Fla.) · 2025
    Article
  18. Low Power FANano letters · 2025
    Article
  19. Review
  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

16 authors.

Tianyu Wang *School of Microelectronics, Fudan University, 200433, Shanghai, China.ORCID 0000-0001-8114-3481
Jialin Meng *School of Microelectronics, Fudan University, 200433, Shanghai, China.
Xufeng Zhou *State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, 200438, Shanghai, China.
Yue LiuState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, 200438, Shanghai, China.
Zhenyu HeSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Qi HanSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Qingxuan LiSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Jiajie YuSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Zhenhai LiSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Yongkai LiuSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Hao ZhuSchool of Microelectronics, Fudan University, 200433, Shanghai, China.ORCID 0000-0003-3890-6871
Qingqing SunSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
David Wei ZhangSchool of Microelectronics, Fudan University, 200433, Shanghai, China.
Peining ChenState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, 200438, Shanghai, China. peiningc@fudan.edu.cn.ORCID 0000-0003-0566-1660
Huisheng PengState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, 200438, Shanghai, China.ORCID 0000-0002-2142-2945
Lin ChenSchool of Microelectronics, Fudan University, 200433, Shanghai, China. linchen@fudan.edu.cn.ORCID 0000-0002-7145-7564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromorphic computing memristors are attractive to construct low-power- consumption electronic textiles due to the intrinsic interwoven architecture and promising applications in wearable electronics. Developing reconfigurable fiber-based memristors is an efficient method to realize electronic textiles that capable of neuromorphic computing function. However, the previously reported artificial synapse and neuron need different materials and configurations, making it difficult to realize multiple functions in a single device. Herein, a textile memristor network of Ag/MoS

Indexed as

ElectronicsTextilesDietary FiberHumansNeuronal PlasticityNeuronsSynapsesDietary Fiber

Identifiers

PMID36460675
PMCPMC9718838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.