2009
DOI: 10.1103/physrevlett.102.046808
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Finite Temperature Lattice Properties of Graphene beyond the Quasiharmonic Approximation

Abstract: The thermal and mechanical stability of graphene is important for many potential applications in nanotechnology. We calculate the temperature dependence of the lattice parameter, elastic properties, and heat capacity by means of atomistic Monte Carlo simulations that allow us to go beyond the quasiharmonic approximation. We predict an unusual, nonmonotonic, behavior of the lattice parameter with a minimum at T approximately 900 K and of the shear modulus with a maximum at the same temperature. The Poisson rati… Show more

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Cited by 462 publications
(478 citation statements)
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“…where and L are the thickness and width of a graphene thin film respectively, and is the Poisson’s ratio which is predicted to be 0.1–0.3 for monolayer graphene [199,200]. However, the relation needs to be revised slightly when in-plane shear dominates the applied stress [198]: …”
Section: Disorders In Graphene Structurementioning
confidence: 99%
“…where and L are the thickness and width of a graphene thin film respectively, and is the Poisson’s ratio which is predicted to be 0.1–0.3 for monolayer graphene [199,200]. However, the relation needs to be revised slightly when in-plane shear dominates the applied stress [198]: …”
Section: Disorders In Graphene Structurementioning
confidence: 99%
“…[49][50][51] This is a long-range carbon bond order potential, which has been employed earlier to carry out classical simulations of diamond, 50 graphite, 50 , liquid carbon, 52 as well as graphene layers. 5,31,[53][54][55] In particular, it was used to predict the carbon phase diagram comprising graphite, diamond, and the liquid, showing its accuracy by comparison of the predicted graphite-diamond line with experimental data. 56 In the case of graphene, this effective potential has been found to give a good description of elastic properties such as the Young's modulus.…”
Section: Methodsmentioning
confidence: 99%
“…These results are similar to those found in earlier classical Monte Carlo and MD simulations of graphene single In-plane surface (Å layers. 35,39,53 There are two competing effects which explain this temperature dependence of A , as discussed below.…”
Section: B Layer Areamentioning
confidence: 99%
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“…We use graphenelike Lamé parameters from [77]: λ = 32.0 J/m 2 and µ = 160.2 J/m 2 . (Equivalently, c l = 2.14 × 10 4 m/s and c t = 1.44 × 10 4 m/s.)…”
Section: A the Finite-difference Time-domain (Fdtd) Methods For The Ementioning
confidence: 99%