Evidence map›Paper›PMID 33594066›Full record

ArticleNature communications2021

Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics.

Huanhuan Wei, Rongchao Shi, Lin Sun, Haiyang Yu, Jiangdong Gong, Chao Liu, Zhipeng Xu, Yao Ni, Jialiang Xu, Wentao Xu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
15.6field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 184 citations in OpenAlex.

  1. Article
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  4. The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  7. Artificial Nervous Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Heterointerface-Modulated Synthetic Synapses Exhibiting Complex Multiscale Plasticity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Review
  14. Self-Adaptive Graphdiyne/Sn Interface for High-Performance Sodium Storage.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Visualized in-sensor computing.Nature communications · 2024
    Article
  16. Article
  17. Review
  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

10 authors at 1 institution in 1 country.

Huanhuan WeiInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Rongchao ShiInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Lin SunInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Haiyang YuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Jiangdong GongInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Chao LiuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Zhipeng XuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Yao NiInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China.
Jialiang XuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China. jialiang.xu@nankai.edu.cn.ORCID 0000-0003-2441-4809
Wentao XuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electrical Information and Optical Engineering, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, P. R. China. wentao@nankai.edu.cn.ORCID 0000-0002-1054-6037
Nankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A graphdiyne-based artificial synapse (GAS), exhibiting intrinsic short-term plasticity, has been proposed to mimic biological signal transmission behavior. The impulse response of the GAS has been reduced to several millivolts with competitive femtowatt-level consumption, exceeding the biological level by orders of magnitude. Most importantly, the GAS is capable of parallelly processing signals transmitted from multiple pre-neurons and therefore realizing dynamic logic and spatiotemporal rules. It is also found that the GAS is thermally stable (at 353 K) and environmentally stable (in a relative humidity up to 35%). Our artificial efferent nerve, connecting the GAS with artificial muscles, has been demonstrated to complete the information integration of pre-neurons and the information output of motor neurons, which is advantageous for coalescing multiple sensory feedbacks and reacting to events. Our synaptic element has potential applications in bioinspired peripheral nervous systems of soft electronics, neurorobotics, and biohybrid systems of brain-computer interfaces.

Indexed as

DendritesDensity Functional TheoryDiffusionGraphiteIonsNerve NetNeuronal PlasticityNeurons, EfferentSignal TransductionSynapsesTemperaturegraphdiyneGraphiteIons

Identifiers

PMID33594066
PMCPMC7886898
OpenAlexW3131664866

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.