Evidence map›Paper›PMID 36133325›Full record

ArticleNanoscale advances2022

Graphene fibre film/polydimethylsiloxane nanocomposites for high-performance electromagnetic interference shielding.

Lu Xu, Haohao Lu, Yubing Dong, Yaqin Fu, Qingqing Ni

Abstract read
In one paragraph

Article in Nanoscale advances, 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

5 authors.

Lu XuSchool of Materials Science and Engineering, Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China niqq@shinshu-u.ac.jp.
Haohao LuSchool of Materials Science and Engineering, Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China niqq@shinshu-u.ac.jp.
Yubing DongSchool of Materials Science and Engineering, Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China niqq@shinshu-u.ac.jp.
Yaqin FuSchool of Materials Science and Engineering, Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China niqq@shinshu-u.ac.jp.
Qingqing NiSchool of Materials Science and Engineering, Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China niqq@shinshu-u.ac.jp.ORCID https://orcid.org/0000-0001-7142-3789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploration of high-performance electromagnetic interference (EMI) shielding materials has become a trend to address the increasing electromagnetic (EM) wave pollution environment. In this paper, oriented graphene fibre film (GFF)/polydimethylsiloxane (PDMS) nanocomposites with one-ply unidirectional, two-ply cross-ply, and two-ply unidirectional configurations were prepared using wet-spinning and hot-pressing techniques in a two-step process. Due to the anisotropic electrical performance of GFF, the one-ply laminate exhibits EMI shielding anisotropy that is affected by fibre orientation relative to the electric field component in EM waves. The maximum shielding difference at 8.8 GHz is up to 32.0 dB between the fibre orientation parallel to and perpendicular to the electric field component. In addition, we found that adding a layer of GFF is an intuitive method to enhance the shielding efficiency (SE) of GFF/PDMS nanocomposites by providing more interfaces to enhance absorption losses. An optimal EMI shielding performance of a two-ply unidirectional laminate is observed with an SE value of 50.6 dB, which shields 99.999% of EM waves. The shielding mechanisms are also discussed and clarified from the results of both experimental and theoretical analyses by adjusting the GFF structural parameters, such as the fibre orientation, areal density, number of plies and stacking sequence.

Identifiers

PMID36133325
PMCPMC9470028

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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.