Evidence map›Paper›PMID 39120061›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Structural Quality Factor of Flo-TENG under Stochastic Wave Excitation.

Dongxin Guo, Chunjin Chen, Jiawei Li, Lixia Zhai, Songying Li, Sheng He, Junrui Feng, Lingyu Wan, Guanlin Liu, Junyi Zhai

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. A Pull-Out Mooring Wave Energy Converter: Design, Analysis, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Structural Quality Factor of Flo-TENG under Stochastic Wave Excitation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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.

Dongxin GuoCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Chunjin ChenCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Jiawei LiCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Lixia ZhaiCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Songying LiCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Sheng HeCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Junrui FengCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Lingyu WanCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.ORCID https://orcid.org/0000-0001-6366-8663
Guanlin LiuCenter on Nanoenergy Research, Institute of Science and Technology for Carbon Peak & Neutrality, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.ORCID https://orcid.org/0000-0003-1721-2678
Junyi ZhaiCAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences, Beijing, 101400, China.

Funding

National Key R & D Project from the Ministry of Science and Technology 2021YFA1201603National Natural Science Foundation of China 52362025National Natural Science Foundation of China 62304058
6 · The paper itself

Abstract

Triboelectric nanogenerators (TENGs) have recently emerged as a promising technology for efficient water wave energy harvesting. However, there is a paucity of clear guidance regarding the optimal designs of TENGs and their shells to achieve efficient absorption and conversion of water wave energy in real random waves. Herein, from the perspective of wave-body interaction and energy transfer, this paper proposes a structural quality factor (Q

Indexed as

floating triboelectric nanogeneratorstochastic wave excitationstructural quality factor

Identifiers

PMID39120061
PMCPMC11481207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.