Evidence map›Paper›PMID 38589497›Full record

ArticleNature communications2024

Ultrafast piezocapacitive soft pressure sensors with over 10 kHz bandwidth via bonded microstructured interfaces.

Yuan Zhang, Xiaomeng Zhou, Nian Zhang, Jiaqi Zhu, Ningning Bai, Xingyu Hou, Tao Sun, Gang Li, Lingyu Zhao, Yingchun Chen and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  3. Review
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  5. The Synergism of β-Cyclodextrin and FeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. A neuromorphic robotic electronic skin with active pain and injury perception.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

12 authors.

Yuan Zhang *Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Xiaomeng Zhou *CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0002-1103-7146
Nian Zhang *CAS Key Laboratory of Mechanical Behavior and Design of Materials, University of Science and Technology of China, Hefei, 230000, China.
Jiaqi ZhuDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Ningning BaiDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Xingyu HouDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Tao SunDepartment of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Gang LiDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Lingyu ZhaoDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Yingchun ChenScience and Technology Committee, Commercial Aircraft Corporation of China Ltd., Shanghai, 200126, China. chenyingchun@comac.cc.
Liu WangCAS Key Laboratory of Mechanical Behavior and Design of Materials, University of Science and Technology of China, Hefei, 230000, China. wangliu05@ustc.edu.cn.ORCID http://orcid.org/0000-0001-7014-9976
Chuan Fei GuoDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. guocf@sustech.edu.cn.ORCID http://orcid.org/0000-0003-4513-3117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible pressure sensors can convert mechanical stimuli to electrical signals to interact with the surroundings, mimicking the functionality of the human skins. Piezocapacitive pressure sensors, a class of most widely used devices for artificial skins, however, often suffer from slow response-relaxation speed (tens of milliseconds) and thus fail to detect dynamic stimuli or high-frequency vibrations. Here, we show that the contact-separation behavior of the electrode-dielectric interface is an energy dissipation process that substantially determines the response-relaxation time of the sensors. We thus reduce the response and relaxation time to ~0.04 ms using a bonded microstructured interface that effectively diminishes interfacial friction and energy dissipation. The high response-relaxation speed allows the sensor to detect vibrations over 10 kHz, which enables not only dynamic force detection, but also acoustic applications. This sensor also shows negligible hysteresis to precisely track dynamic stimuli. Our work opens a path that can substantially promote the response-relaxation speed of piezocapacitive pressure sensors into submillisecond range and extend their applications in acoustic range.

Identifiers

PMID38589497
PMCPMC11001880

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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.