Evidence map›Paper›PMID 41079675›Full record

ArticleResearch (Washington, D.C.)2025

Achieving 87% of Theoretical Output Charge Density by Optimizing Charge Behaviors in Polydimethylsiloxane/CaCu

Jinyang Liu, Zhongkun Wang, Shuo Wang, Yuanzheng Zhang, Weikun Li, Song Zhao, Dongyang Li, Yonghui Wu, Hengyu Guo, Haiwu Zheng

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jinyang LiuHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Zhongkun WangHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Shuo WangHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Yuanzheng ZhangHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Weikun LiHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Song ZhaoHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Dongyang LiHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Yonghui WuHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.
Hengyu GuoSchool of Physics, Chongqing University, Chongqing 400044, China.ORCID https://orcid.org/0000-0001-7133-4823
Haiwu ZhengHenan Key Laboratory of High Efficiency Energy Conversion Science and Technology, Henan Province Engineering Research Center of Smart Micro-nano Sensing Technology and Application, School of Physics and Electronics, Henan University, Kaifeng 475004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triboelectric charge behaviors, including the generation, storage, and dissipation, play a pivotal role in determining the output charge density of triboelectric nanogenerators (TENGs). While numerous factors influence these behaviors, prior research has predominantly focused on individual parameters, often overlooking the interplay of multiple factors and their collective impact on output charge density. This study elucidates the underlying mechanism through which trade-offs among charge behaviors influence TENG performance by systematically investigating key parameters, including trap state density, relative dielectric constant, leakage current density, dielectric loss, and the effective work function of the tribo-dielectric layer. To optimize TENG performance, a polydimethylsiloxane/CaCu

Identifiers

PMID41079675
PMCPMC12508525

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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.