Evidence map›Paper›PMID 42277045›Full record

ArticleNature communications2026

Solvent-assisted running-in strategy enables improved triboelectric nanogenerator output.

Jun Zhao, Bin Ge, Xiangyu Feng, Yanjie Nie, Pengzhe Zhu, Yajie Zhang, Wei Wu, Xueyuan Li, Yongfeng Wang, Yijun Shi

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jun ZhaoSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, P. R. China. zhaojun@bit.edu.cn.ORCID http://orcid.org/0000-0003-3919-2962
Bin GeSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, P. R. China.
Xiangyu FengSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, P. R. China.
Yanjie NieKey Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing, P. R. China.
Pengzhe ZhuSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, P. R. China.
Yajie ZhangKey Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing, P. R. China. yjzhang11@pku.edu.cn.ORCID http://orcid.org/0000-0001-7096-1040
Wei WuSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, P. R. China.
Xueyuan LiSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, P. R. China.
Yongfeng WangKey Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing, P. R. China.ORCID http://orcid.org/0000-0002-8171-3189
Yijun ShiDivision of Machine Elements, Luleå University of Technology, Luleå, Sweden. yijun.shi@ltu.se.ORCID http://orcid.org/0000-0001-6085-7880

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22572002National Natural Science Foundation of China (National Science Foundation of China) 52275170National Natural Science Foundation of China (National Science Foundation of China) T2522001National Natural Science Foundation of China (National Science Foundation of China) U24A20114State Key Laboratory of Tribology (SKLT) SKLTKF24A05Vetenskapsrådet (Swedish Research Council) Project no. 2023-04962
6 · The paper itself

Abstract

The challenge of low electric outputs of triboelectric nanogenerators limits their large-scale practical applications. Although considerable efforts have been focused on improving the output, e.g., enhancing the surface charge densities of tribo-materials, the improvements are either too weak or too complicated. Here, we show that optimizing the running-in process with dimethyl sulfoxide solvent can increase the charge density of polyimide-based triboelectric nanogenerators to 2.5 mC m

Identifiers

PMID42277045
PMCPMC13507328

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.