Evidence map›Paper›PMID 36583124›Full record

ArticleACS applied nano materials2022

Mechanically Stable Ultrathin Layered Graphene Nanocomposites Alleviate Residual Interfacial Stresses: Implications for Nanoelectromechanical Systems.

Maxime Vassaux, Werner A Müller, James L Suter, Aravind Vijayaraghavan, Peter V Coveney

Abstract read
In one paragraph

Article in ACS applied nano materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

5 authors.

Maxime VassauxUniversité de Rennes, CNRS, IPR (Institut de Physique de Rennes), UMR 6251, Rennes 35000, France.ORCID https://orcid.org/0000-0003-2975-0625
Werner A MüllerCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom.
James L SuterCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom.ORCID https://orcid.org/0000-0002-0149-7974
Aravind VijayaraghavanDepartment of Materials and National Graphene Institute, The University of Manchester, Manchester M13 9PL, United Kingdom.
Peter V CoveneyCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom.ORCID https://orcid.org/0000-0002-8787-7256

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced nanoelectromechanical systems made from polymer dielectrics deposited onto 2D-nanomaterials such as graphene are increasingly popular as pressure and touch sensors, resonant sensors, and capacitive micromachined ultrasound transducers (CMUTs). However, durability and accuracy of layered nanocomposites depend on the mechanical stability of the interface between polymer and graphene layers. Here we used molecular dynamics computer simulations to investigate the interface between a sheet of graphene and a layer of parylene-C thermoplastic polymer during large numbers of high-frequency (MHz) cycles of bending relevant to the operating regime. We find that important interfacial sliding occurs almost immediately in usage conditions, resulting in more than 2% expansion of the membrane, a detrimental mechanism which requires repeated calibration to maintain CMUTs accuracy. This irreversible mechanism is caused by relaxation of residual internal stresses in the nanocomposite bilayer, leading to the emergence of self-equilibrated tension in the polymer and compression in the graphene. It arises as a result of deposition-polymerization processing conditions. Our findings demonstrate the need for particular care to be exercised in overcoming initial expansion. The selection of appropriate materials chemistry including low electrostatic interactions will also be key to their successful application as durable and reliable devices.

Identifiers

PMID36583124
PMCPMC9791614

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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.