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Linear correlation between binding energy and Youngs modulus in graphene nanoribbons

Linear correlation between binding energy and Youngs modulus in graphene nanoribbons

Zeinalipour-Yazdi, Constantinos D. ORCID: 0000-0002-8388-1549 and Christofides, Constantinos (2009) Linear correlation between binding energy and Youngs modulus in graphene nanoribbons. Journal of Applied physics, 106 (5):054318. ISSN 0021-8979 (Print), 1089-7550 (Online) (doi:https://doi.org/10.1063/1.3211944)

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Abstract

Graphene nanoribbons (GNRs) have been suggested as a promising material for its use as nanoelectromechanical reasonators for highly sensitive force, mass, and charge detection. Therefore the accurate determination of the size-dependent elastic properties of GNRs is desirable for the design of graphene-based nanoelectromechanical devices. In this study we determine the size-dependent Young’s modulus and carbon-carbon binding energy in a homologous series of GNRs, C4n2+6n+2H6n+4 (n=2–12), with the use of all electron first principles computations. An unexpected linearity between the binding energy and Young’s modulus is observed, making possible the prediction of the size-dependent Young’s modulus of GNRs through a single point energy calculation of the GNR ground state. A quantitative-structure-property relationship is derived, which correlates Young’s modulus to the total energy and the number of carbon atoms within the ribbon. In the limit of extended graphene sheets we determine the value of Young’s modulus to be 1.09 TPa, in excellent agreement with experimental estimates derived for graphite and suspended graphene sheets.

Item Type: Article
Uncontrolled Keywords: graphene, Youngs modulus, mechanical properties, DFT
Subjects: Q Science > QD Chemistry
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Pharmaceutical, Chemical & Environmental Sciences
Last Modified: 07 Oct 2018 00:45
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/21462

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