By means of tight-binding atomistic simulations we study a family of native defects in graphene recently detected experimentally. Their formation energy is found to be as large as several eV, consistently with the empirical evidence of high crystalline quality in most graphene samples. Defects, especially if associated with bond reconstructions, induce sizable deformation and stress fields with a spatial distribution closely related to their actual symmetry. The here proposed description of such fields are believed to be useful for the unambiguous characterization of images obtained by electron microscopy. We also argue that they define the basin of mutual interaction between two nearby defects. Finally, we provide evidence that defects differently affect the linear elastic moduli of monolayer graphene. In general, both the Young modulus and the Poisson ratio are decreased, but their dependence upon the defect surface density is remarkably more pronounced for vacancy-like than for number-like defects.

Elastic fields and moduli in defected graphene

DETTORI, RICCARDO;CADELANO, EMILIANO;COLOMBO, LUCIANO
2012-01-01

Abstract

By means of tight-binding atomistic simulations we study a family of native defects in graphene recently detected experimentally. Their formation energy is found to be as large as several eV, consistently with the empirical evidence of high crystalline quality in most graphene samples. Defects, especially if associated with bond reconstructions, induce sizable deformation and stress fields with a spatial distribution closely related to their actual symmetry. The here proposed description of such fields are believed to be useful for the unambiguous characterization of images obtained by electron microscopy. We also argue that they define the basin of mutual interaction between two nearby defects. Finally, we provide evidence that defects differently affect the linear elastic moduli of monolayer graphene. In general, both the Young modulus and the Poisson ratio are decreased, but their dependence upon the defect surface density is remarkably more pronounced for vacancy-like than for number-like defects.
2012
Graphene - Defects - Elastic properties
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/91451
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