2011
DOI: 10.1088/0965-0393/19/5/054006
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Atomistic simulation and continuum modeling of graphene nanoribbons under uniaxial tension

Abstract: Atomistic simulations are performed to study the nonlinear mechanical behavior of graphene nanoribbons under quasistatic uniaxial tension, emphasizing the effects of edge structures (armchair and zigzag, without and with hydrogen passivation) on elastic modulus and fracture strength. The numerical results are analyzed within a theoretical model of thermodynamics, which enables determination of the bulk strain energy density, the edge energy density and the hydrogen adsorption energy density as nonlinear functi… Show more

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Cited by 133 publications
(135 citation statements)
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“…Graphene, the parent of other graphite forms, had become one of the most interesting focuses of research in the last decade [13]. We can convert the graphene to form 3D graphite, roll it to form 1D carbon nanotubes (CNTs) and wrap it to form 0D fullerenes [11].…”
Section: Biomedical Application Of Grphenementioning
confidence: 99%
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“…Graphene, the parent of other graphite forms, had become one of the most interesting focuses of research in the last decade [13]. We can convert the graphene to form 3D graphite, roll it to form 1D carbon nanotubes (CNTs) and wrap it to form 0D fullerenes [11].…”
Section: Biomedical Application Of Grphenementioning
confidence: 99%
“…In order to develop a reliable material for biomedical operation, the behavior of the entire system along with incorporated part has to be predicted by a reliable computational method. For biomedical applications, important questions to be addressed are Various theoretical and computational has been done to predict the behavior of graphene as reinforcement on the performance of polymer nanocomposites like quantum mechanical-based methods [16], Continuum Mechanics (CM) [13], Molecular Mechanics (MM) [11], Molecular Dynamics (MD) [18], atomistic modeling [22], and multiscale modeling [23] on the mechanical properties of graphene has been reviewed and modeling of polymer nanocomposites reinforced with spherical nanoparticles or statistically isotropic aggregates.…”
Section: Modeling Of Graphene Based Polymer Nanocompositesmentioning
confidence: 99%
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“…Various theoretical and computational approaches have been employed to explore the effect of graphene as reinforcement on the performance of polymer nanocomposites including but not limited to, quantum mechanical-based methods [28], Continuum Mechanics (CM) [29], Molecular Mechanics (MM) [30], Molecular Dynamics (MD) [31], atomistic modeling [32], Density Functional Theory (DFT) [33], and multiscale modeling [34]. The mechanical, thermal, and electrical properties of GBPNCs have widely been studied.…”
Section: Modeling Of Graphene Based Polymer Nanocompositesmentioning
confidence: 99%
“…There is an increasing interest in examining their mechanical [36][37][38][39][40][41][42][43][44][45][46][47] and electronic properties [48][49][50][51][52][53][54][55][56][57][58] under different constrains such as tensile stress to predict the behavior of future possible devices. Particularly, strain studies on graphene nanoribbons are gaining much attention as the control of their mechanical deformation could allow the creation of novel devices for energy harvesting [83][84][85][86] .…”
mentioning
confidence: 99%