Comparison of Green-Kubo and NEMD heat flux formulations for thermal conductivity prediction using the Tersoff potential

被引:62
|
作者
Khadem, Masoud H. [1 ]
Wemhoff, Aaron P. [1 ]
机构
[1] Villanova Univ, Dept Mech Engn, Villanova, PA 19085 USA
基金
美国国家科学基金会;
关键词
Green-Kubo; Tersoff; Molecular dynamics; Heat flux formulation; NEMD; MOLECULAR-DYNAMICS SIMULATIONS; GRAPHENE; SILICON; SYSTEMS; ARGON; FLOW;
D O I
10.1016/j.commatsci.2012.12.016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The phonon-based thermal conductivity of graphene sheets is estimated using equilibrium and non-equilibrium molecular dynamics simulations. Different possible heat flux formulations, as a result of using the three-body Tersoff potential, have been examined to calculate the thermal conductivity by using equilibrium molecular dynamics (EMD) with Green-Kubo relations. Non-equilibrium molecular dynamics (NEMD) simulations are also performed to compare the heat flux formulations. We have found that the selected heat flux formulation has a prominent impact on the calculated thermal conductivity. A heat flux formulation choice is recommended that best maintains consistency between applied and calculated heat flux values in NEMD simulations. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:428 / 434
页数:7
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    Kajita, Seiji
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  • [10] Direct calculation of modal contributions to thermal conductivity via Green-Kubo modal analysis
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    [J]. NEW JOURNAL OF PHYSICS, 2016, 18