Evidence map›Paper›PMID 37804464›Full record

ArticleNano-micro letters2023

MXene Lubricated Tribovoltaic Nanogenerator with High Current Output and Long Lifetime.

Wenyan Qiao, Linglin Zhou, Zhihao Zhao, Peiyuan Yang, Di Liu, Xiaoru Liu, Jiaqi Liu, Dongyang Liu, Zhong Lin Wang, Jie Wang

Abstract read
In one paragraph

Article in Nano-micro letters, 2023. 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. Review
  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

10 authors.

Wenyan Qiao *Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Linglin Zhou *Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Zhihao Zhao *Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Peiyuan YangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Di LiuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Xiaoru LiuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Jiaqi LiuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Dongyang LiuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China.
Jie WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China. wangjie@binn.cas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tribovoltaic nanogenerators (TVNGs) have the characteristics of high current density, low matched impedance and continuous output, which is expected to solve the problem of power supply for small electronic devices. However, wear occurrence in friction interface will seriously reduce the performance of TVNGs as well as lifetime. Here, we employ MXene solution as lubricate to improve output current density and lifetime of TVNG simultaneously, where a high value of 754 mA m

Indexed as

Interface lubricantInterface wearTribovoltaic nanogeneratorsUltra-robust

Identifiers

PMID37804464
PMCPMC10560292

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.