Evidence map›Paper›PMID 40883277›Full record

ArticleNature communications2025

Contact-dominated localized electric-displacement-field-enhanced pressure sensing.

Chao Ma, Huaidong Ye, Xiaowei Shi, Yufan Chen, Yuxuan Liu, Longhui Qin, Lanyue Gan, Fan Xia, Guanhua Long, Xijun Jiang and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

15 authors.

Chao Ma *Key Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.
Huaidong Ye *Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, Hunan, China.
Xiaowei Shi *School of Mechanical Engineering, Southeast University, Nanjing, China.ORCID http://orcid.org/0009-0006-4746-0006
Yufan Chen *Key Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.
Yuxuan LiuHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, Hunan, China.
Longhui QinSchool of Mechanical Engineering, Southeast University, Nanjing, China.
Lanyue GanKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.ORCID http://orcid.org/0009-0009-2489-7549
Fan XiaKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-9855-5260
Guanhua LongKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.ORCID http://orcid.org/0009-0004-3419-9377
Xijun JiangHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, Hunan, China.
Weicheng HuangSchool of Engineering, Newcastle University, Newcastle upon Tyne, UK.
Xingxing ChenKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.
Xuelei LiangKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-3095-0974
Lian-Mao PengKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China. lmpeng@pku.edu.cn.ORCID http://orcid.org/0000-0003-0754-074X
Youfan HuKey Laboratory for the Physics and Chemistry of Nanodevices and School of Electronics, Peking University, Beijing, China. youfanhu@pku.edu.cn.ORCID http://orcid.org/0000-0001-9798-1631

Funding

China Postdoctoral Science Foundation 2022TQ0003National Natural Science Foundation of China (National Science Foundation of China) 62304011
6 · The paper itself

Abstract

Pressure sensors, especially the typical capacitive sensors that feature low power consumption, have drawn considerable interest in emerging and rapidly growing fields such as flexible electronics and humanoid robots, but often suffer from limited performance. Here, we report a contact-dominated design for capacitive pressure sensors to dramatically improve the sensing response and linearity over a broad pressure range. This design is implemented by utilizing hierarchical microstructured electrodes made of robust conductive composites with metallic coverage and layered dielectrics with high unit-area capacitance to realize localized electric-displacement-field-enhanced capacitance change. We demonstrate a significant improvement in pressure response beyond 3000 and a sensing range exceeding 1 MPa, particularly with a near-linear response (optimized R

Identifiers

PMID40883277
PMCPMC12397396

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.