Evidence map›Paper›PMID 39140092›Full record

ArticleResearch (Washington, D.C.)2024

Achieving Ultrahigh DC-Power Triboelectric Nanogenerators by Lightning Rod-Inspired Field Emission Modeling.

Qianying Li, Shaoke Fu, Huake Yang, Xiaochuan Li, Xuemei Zhang, Chenguo Hu, Yi Xi

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Qianying LiDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.
Shaoke FuDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.
Huake YangDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.
Xiaochuan LiDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.
Xuemei ZhangDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.
Chenguo HuDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.
Yi XiDepartment of Applied Physics, Chongqing Key Laboratory of Materials Physics, College of Physics, Chongqing University, Chongqing 400044, P. R. China.ORCID https://orcid.org/0000-0002-7559-8364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct current triboelectric nanogenerators (DC-TENGs) are a groundbreaking technology to capture micromechanical energy from the natural environment, which is crucial for directly powering sensor networks. However, the research bottleneck in enhancing the triboelectric electrification capability and charge storage capability of dielectrics has hindered the overall performance breakthroughs of the DC-TENG. Here, a field emission model-based DC-TENG (FEM-TENG) is proposed, inspired by lightning rods. The enhanced local electric field between dielectric materials and electrodes induces strong electron tunneling, which improves charge neutralization on the surface of materials and their internal charge storage space, thereby utilizing the dielectric volume effect effectively and strengthening triboelectricity. Guided by the field emission model, the FEM-TENG with a historic crest factor of 1.00375 achieves a groundbreaking record of an average power density of 16.061 W m

Identifiers

PMID39140092
PMCPMC11320116

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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.