Evidence map›Paper›PMID 33163937›Full record

ReviewiScience2020

Triboelectric and Piezoelectric Nanogenerators for Future Soft Robots and Machines.

Min Pan, Chenggang Yuan, Xianrong Liang, Jun Zou, Yan Zhang, Chris Bowen

Open access · goldAbstract readReview
In one paragraph

Review in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 128 citations in OpenAlex.

  1. Review
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  9. Advanced Ultrasound Energy Transfer Technologies using Metamaterial Structures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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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

6 authors at 3 institutions in 2 countries.

Min PanDepartment of Mechanical Engineering, University of Bath, BA2 7AY Bath, UK.
Chenggang YuanDepartment of Mechanical Engineering, University of Bath, BA2 7AY Bath, UK.
Xianrong LiangDepartment of Mechanical Engineering, University of Bath, BA2 7AY Bath, UK.
Jun ZouState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Yan ZhangDepartment of Mechanical Engineering, University of Bath, BA2 7AY Bath, UK.
Chris BowenDepartment of Mechanical Engineering, University of Bath, BA2 7AY Bath, UK.
University of Bath · GBCentral South University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triboelectric nanogenerator (TENG) and piezoelectric nanogenerator (PENG) are two recently developed technologies for effective harvesting of ambient mechanical energy for the creation of self-powered systems. The advantages of TENGs and PENGs which include large open-circuit output voltage, low cost, ease of fabrication, and high conversion efficiency enable their application as new flexible sensors, wearable devices, soft robotics, and machines. This perspective provides an overview of the current state of the art in triboelectric and piezoelectric devices that are used as self-powered sensors and energy harvesters for soft robots and machines; hybrid approaches that combine the advantages of both mechanisms are also discussed. To improve system performance and efficiency, the potential of providing self-powered soft systems with a degree of multifunctionality is investigated. This includes optical sensing, transparency, self-healing, water resistance, photo-luminescence, or an ability to operate in hostile environments such as low temperature, high humidity, or high strain/stretch. Finally, areas for future research directions are identified.

Indexed as

DevicesEnergy SystemsNanostructureNanotechnology

Identifiers

PMID33163937
PMCPMC7607424
OpenAlexW3092819481

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.