journal article·2022-12-23Open access

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

ACS Applied Nano Materials· Volume 5· Issue 12

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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Carbon Nanotubes in Composites · Graphene research and applications · Force Microscopy Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Université de Rennes, CNRS, IPR (Institut de Physique de Rennes), UMR 6251, Rennes 35000, France

Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom

Department of Materials and National Graphene Institute, The University of Manchester, Manchester M13 9PL, United Kingdom

Advanced Research Computing Centre, University College London, London WC1H 0AJ, United Kingdom

Informatics Institute, University of Amsterdam, Amsterdam 1098 XH, The Netherlands

Funding

Engineering and Physical Sciences Research Council · H2020 Future and Emerging Technologies

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