Evidence map›Paper›PMID 41020159›Full record

ArticleResearch (Washington, D.C.)2025

Boosting Output Performance of Triboelectric Nanogenerator via Interface Self-Regulation Strategy.

Yanrui Zhao, Yuming Feng, Qi Gao, Hengyu Li, Xin Guo, Jianlong Wang, Xinxian Wang, Lu Dong, Yang Yu, Zhong Lin Wang and 1 more

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Yanrui ZhaoBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Yuming FengBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Qi GaoGuangzhou Institute of Blue Energy, Knowledge City, Huangpu District, Guangzhou 510555, China.
Hengyu LiBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Xin GuoBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Jianlong WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Xinxian WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Lu DongBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Yang YuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Tinghai ChengBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.ORCID https://orcid.org/0000-0003-0335-7614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term durability of triboelectric nanogenerators (TENGs) remains a critical challenge for their practical deployment. Although approaches like reducing interfacial friction or contact duration can enhance durability, they often compromise electrical performance. The charge self-excitation method can improve the output performance. However, when it is introduced into the sliding mode with small capacitance change, it increases the complexity of the circuit and cannot solve the problem of charge attenuation caused by material wear. Herein, we propose a self-regulation strategy that concurrently controls the interface contact state and contact force. This approach synergistically combines the advantages of both sliding and contact-separation configurations, enabling the triboelectric materials to micro-slide and deform adaptively, ensuring stable dynamic interfacial contact under minimal normal pressure. Such a mechanism promotes strong electron cloud overlap at the microscale, thereby enhancing charge transfer efficiency. Compared to conventional TENGs, the self-regulating TENG achieves a 72.5-fold reduction in frictional force and a 13-fold increase in energy output. Furthermore, a wireless self-powered sensing system is integrated, achieving a power density of 242.4 mW/m

Identifiers

PMID41020159
PMCPMC12463547

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.