Evidence map›Paper›PMID 35335776›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Green Synthesis of Laser-Induced Graphene with Copper Oxide Nanoparticles for Deicing Based on Photo-Electrothermal Effect.

Jun-Uk Lee, Jeong-Hoon Lee, Chan-Woo Lee, Su-Chan Cho, Sung-Moo Hong, Yong-Won Ma, Sung-Yeob Jeong, Bo-Sung Shin

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. 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. 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

8 authors.

Jun-Uk LeeDepartment of Cogno-Mechatronics Engineering, Pusan National University, Pusan 46241, Korea.
Jeong-Hoon LeeDepartment of Cogno-Mechatronics Engineering, Pusan National University, Pusan 46241, Korea.
Chan-Woo LeeDepartment of Cogno-Mechatronics Engineering, Pusan National University, Pusan 46241, Korea.ORCID 0000-0002-1650-0515
Su-Chan ChoDepartment of Cogno-Mechatronics Engineering, Pusan National University, Pusan 46241, Korea.
Sung-Moo HongInterdisciplinary Department for Advanced Innovative Manufacturing Engineering, Pusan National University, Pusan 46241, Korea.
Yong-Won MaInterdisciplinary Department for Advanced Innovative Manufacturing Engineering, Pusan National University, Pusan 46241, Korea.ORCID 0000-0002-4862-3325
Sung-Yeob JeongDepartment of Mechanical Engineering, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0002-5578-9673
Bo-Sung ShinDepartment of Optics and Mechatronics Engineering, Pusan National University, Pusan 46241, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homogenously dispersed Cu oxide nanoparticles on laser-induced graphene (LIG) were fabricated using a simple two-step laser irradiation. This work emphasized the synergetic photo-electrothermal effect in Cu oxide particles embedded in LIG. Our flexible hybrid composites exhibited high mechanical durability and excellent thermal properties. Moreover, the Cu oxide nanoparticles in the carbon matrix of LIG enhanced the light trapping and multiple electron internal scattering for the electrothermal effect. The best conditions for deicing devices were also studied by controlling the amount of Cu solution. The deicing performance of the sample was demonstrated, and the results indicate that the developed method could be a promising strategy for maintaining lightness, efficiency, excellent thermal performance, and eco-friendly 3D processing capabilities.

Indexed as

deicingflexibleheaterlaser-induced graphenephotothermal effectpolyimide

Identifiers

PMID35335776
PMCPMC8951176

What OpenQuestion holds

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LicenceCC BY
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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.