Evidence map›Paper›PMID 34947741›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Graphene-Based Composite Membrane Prepared from Solid Carbon Source Catalyzed by Ni Nanoparticles.

Jing Li, Jialiang Liu, Jinshui Liu, Jinfeng Lai, Yuxun Chen, Wenjun Li

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jing LiSchool of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.ORCID 0000-0002-0198-0974
Jialiang LiuSchool of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.
Jinshui LiuSchool of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.
Jinfeng LaiSchool of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.
Yuxun ChenSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China.
Wenjun LiBeijing Headquarters of Space Vehicle, Beijing 100086, China.

Funding

13th five-year plan of the ministry of science and technolog A2180150Guangzhou Municipal Science and Technology Bureau B3200390the Fundamental Research Funds for the Central Universities D2190540the Joint Fund for Equipment Pre-research of Ministry of Education of China 6141A02022520
6 · The paper itself

Abstract

Emerging as a light, flexible and highly thermally conductive material, graphene-based membranes have attracted extensive attention in thermal management field. However, the preparation of high-quality graphene-based membranes usually involves complex processes and thermal annealing at ultra-high temperature, which limits their large-scale application in thermal management field. In our study, reduced graphene oxide-Ni-hydroxypropyl methyl cellulose (RGO-Ni-HPMC) composite membrane was prepared from catalytic pyrolysis of hydroxypropyl methyl cellulose (HPMC) with Ni nanoparticles to generate multilayer graphene and form phonon transport channels between adjacent graphene layers. Further, our study shows that the RGO-Ni-HPMC composite membrane has a good heat dissipation effect at the hot spots at high temperature. The average temperature of hot spots is reduced by 11.5 °C. It is expected to solve the heat dissipation problem of high-power electronic equipment.

Indexed as

hydroxypropyl methyl celluloseNi nanoparticlesoxidized graphenethermal conductivity

Identifiers

PMID34947741
PMCPMC8707696

What OpenQuestion holds

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Registered trials

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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.