Thermal fluctuations and effective bending stiffness of elastic thin sheets and graphene: A nonlinear analysis

被引:55
作者
Ahmadpoor, Fatemeh [1 ]
Wang, Peng [2 ]
Huang, Rui [2 ]
Sharma, Pradeep [1 ,3 ]
机构
[1] Univ Houston, Dept Mech Engn, Houston, TX 77204 USA
[2] Univ Texas Austin, Dept Aerosp Engn & Engn Mech, Austin, TX 78712 USA
[3] Univ Houston, Dept Phys, Houston, TX 77204 USA
基金
美国国家科学基金会;
关键词
Graphene; Thermal fluctuations; Nonlinear elasticity; Variational perturbation method; MEMBRANES; CRYSTALLINE; RIGIDITY; VESICLES; ENERGY; OXIDE; MECHANICS; ORDER; SHAPE;
D O I
10.1016/j.jmps.2017.07.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The study of statistical mechanics of thermal fluctuations of graphene-the prototypical two-dimensional material is rendered rather complicated due to the necessity of accounting for geometric deformation nonlinearity. Unlike fluid membranes such as lipid bilayers, coupling of stretching and flexural modes in solid membranes like graphene leads to a highly anharmonic elastic Hamiltonian. Existing treatments draw heavily on analogies in the high-energy physics literature and are hard to extend or modify in the typical contexts that permeate materials, mechanics and some of the condensed matter physics literature. In this study, using a variational perturbation method, we present a "mechanics-oriented" treatment of the thermal fluctuations of elastic sheets such as graphene and evaluate their effect on the effective bending stiffness at finite temperatures. In particular, we explore the size, pre-strain and temperature dependency of the out-of-plane fluctuations, and demonstrate how an elastic sheet becomes effectively stiffer at larger sizes. Our derivations provide a transparent approach that can be extended to include multi-field couplings and anisotropy for other 2D materials. To reconcile our analytical results with atomistic considerations, we also perform molecular dynamics simulations on graphene and contrast the obtained results and physical insights with those in the literature. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:294 / 319
页数:26
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