Evidence map›Paper›PMID 37696019›Full record

ArticleACS applied materials & interfaces2023

Toward Self-Powered Sensing and Thermal Energy Harvesting in High-Performance Composites v

Kening Wan, Arnaud Kernin, Leonardo Ventura, Chongyang Zeng, Yushen Wang, Yi Liu, Juan J Vilatela, Weibang Lu, Emiliano Bilotti, Han Zhang

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. 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. Review
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.

Kening WanSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.
Arnaud KerninSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.
Leonardo VenturaSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.
Chongyang ZengSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.
Yushen WangSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.
Yi LiuSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.
Juan J VilatelaIMDEA Materials Institute, Eric Kandel 2, Getafe 28906, Madrid, Spain.ORCID 0000-0002-2572-0245
Weibang LuDivision of Advanced Nanomaterials and Innovation Center for Advanced Nanocomposites, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, PR China.
Emiliano BilottiSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.ORCID 0000-0003-3952-1148
Han ZhangSchool of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, U.K.ORCID 0000-0002-0479-224X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of high-performance self-powered sensors in advanced composites addresses the increasing demands of various fields such as aerospace, wearable electronics, healthcare devices, and the Internet-of-Things. Among different energy sources, the thermoelectric (TE) effect which converts ambient temperature gradients to electric energy is of particular interest. However, challenges remain on how to increase the power output as well as how to harvest thermal energy at the out-of-plane direction in high-performance fiber-reinforced composite laminates, greatly limiting the pace of advance in this evolving field. Herein, we utilize a temperature-induced self-folding process together with continuous carbon nanotube veils to overcome these two challenges simultaneously, achieving a high TE output (21 mV and 812 nW at a temperature difference of 17 °C only) in structural composites with the capability to harvest the thermal energy from out-of-plane direction. Real-time self-powered deformation and damage sensing is achieved in fabricated composite laminates based on a thermal gradient of 17 °C only, without the need of any external power supply, opening up new areas of autonomous self-powered sensing in high-performance applications based on TE materials.

Indexed as

carbon nanotubesself-powered sensingtemperature-induced self-foldingthermoelectric

Identifiers

PMID37696019
PMCPMC10520910

What OpenQuestion holds

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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.