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Large-Scale Molecular Dynamics Elucidates the Mechanics of Reinforcement in Graphene-Based Composites

Suter, James L; Vassaux, Maxime; Coveney, Peter V; (2023) Large-Scale Molecular Dynamics Elucidates the Mechanics of Reinforcement in Graphene-Based Composites. Advanced Materials , Article e2302237. 10.1002/adma.202302237. (In press). Green open access

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Abstract

Using very large-scale classical molecular dynamics we examine the mechanics of nano-reinforcement of graphene-based nanocomposites. Our simulations show that significant quantities of large, defect-free and predominantly flat graphene flakes are required for successful enhancement of materials properties in excellent agreement with experimental and proposed continuum shear-lag theories. The critical length for enhancement is approximately 500nm and 300nm for graphene and GO respectively. The reduction of Young's modulus in GO results in a much smaller enhancement of the composite's Young's modulus. The simulations reveal that the flakes should be aligned and planar for optimal reinforcement. Undulations substantially degrade the enhancement of materials properties.

Type: Article
Title: Large-Scale Molecular Dynamics Elucidates the Mechanics of Reinforcement in Graphene-Based Composites
Location: Germany
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/adma.202302237
Publisher version: https://doi.org/10.1002/adma.202302237
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Graphene, graphene-oxide, molecular simulation, polymer nanocomposites, shear-lag models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry
URI: https://discovery.ucl.ac.uk/id/eprint/10174226
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