Equivalence of the equilibrium and the nonequilibrium molecular dynamics methods for thermal conductivity calculations: From bulk to nanowire silicon

被引:77
作者
Dong, Haikuan [1 ,2 ]
Fan, Zheyong [1 ,3 ]
Shi, Libin [1 ]
Harju, Ari [3 ]
Ala-Nissila, Tapio [3 ,4 ,5 ]
机构
[1] Bohai Univ, Sch Math & Phys, Jinzhou, Peoples R China
[2] Liaoning Univ Technol, Sch Mat Sci & Engn, Jinzhou, Peoples R China
[3] Aalto Univ, Dept Appl Phys, QTF Ctr Excellence, FI-00076 Aalto, Finland
[4] Loughborough Univ Technol, Ctr Interdisciplinary Math Modeling, Loughborough LE11 3TU, Leics, England
[5] Loughborough Univ Technol, Dept Math Sci & Phys, Loughborough LE11 3TU, Leics, England
基金
中国国家自然科学基金; 芬兰科学院;
关键词
IRREVERSIBLE-PROCESSES; COMPUTER-SIMULATION; POTENTIALS;
D O I
10.1103/PhysRevB.97.094305
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Molecular dynamics (MD) simulations play an important role in studying heat transport in complex materials. The lattice thermal conductivity can be computed either using the Green-Kubo formula in equilibrium MD (EMD) simulations or using Fourier's law in nonequilibriumMD (NEMD) simulations. These two methods have not been systematically compared for materials with different dimensions and inconsistencies between them have been occasionally reported in the literature. Here we give an in-depth comparison of them in terms of heat transport in three allotropes of Si: three-dimensional bulk silicon, two-dimensional silicene, and quasi-one-dimensional silicon nanowire. By multiplying the correlation time in the Green-Kubo formula with an appropriate effective group velocity, we can express the running thermal conductivity in the EMD method as a function of an effective length and directly compare it to the length-dependent thermal conductivity in the NEMD method. We find that the two methods quantitatively agree with each other for all the systems studied, firmly establishing their equivalence in computing thermal conductivity.
引用
收藏
页数:8
相关论文
共 41 条
[1]   Size effects in thermal conduction by phonons [J].
Allen, Philip B. .
PHYSICAL REVIEW B, 2014, 90 (05)
[2]   Evidence for Dirac Fermions in a Honeycomb Lattice Based on Silicon [J].
Chen, Lan ;
Liu, Cheng-Cheng ;
Feng, Baojie ;
He, Xiaoyue ;
Cheng, Peng ;
Ding, Zijing ;
Meng, Sheng ;
Yao, Yugui ;
Wu, Kehui .
PHYSICAL REVIEW LETTERS, 2012, 109 (05)
[3]   Bimodal Grain-Size Scaling of Thermal Transport in Polycrystalline Graphene from Large-Scale Molecular Dynamics Simulations [J].
Fan, Zheyong ;
Hirvonen, Petri ;
Pereira, Luiz Felipe C. ;
Ervasti, Mikko M. ;
Elder, Ken R. ;
Donadio, Davide ;
Harju, Ari ;
Ala-Nissila, Tapio .
NANO LETTERS, 2017, 17 (10) :5919-5924
[4]   Efficient molecular dynamics simulations with many-body potentials on graphics processing units [J].
Fan, Zheyong ;
Chen, Wei ;
Vierimaa, Ville ;
Harju, Ari .
COMPUTER PHYSICS COMMUNICATIONS, 2017, 218 :10-16
[5]   Force and heat current formulas for many-body potentials in molecular dynamics simulations with applications to thermal conductivity calculations [J].
Fan, Zheyong ;
Pereira, Luiz Felipe C. ;
Wang, Hui-Qiong ;
Zheng, Jin-Cheng ;
Donadio, Davide ;
Harju, Ari .
PHYSICAL REVIEW B, 2015, 92 (09)
[6]  
FAN ZY, 2017, PHYS REV B, V95
[7]   Heat conductivity in graphene and related materials: A time-domain modal analysis [J].
Gill-Comeau, Maxime ;
Lewis, Laurent J. .
PHYSICAL REVIEW B, 2015, 92 (19)
[9]  
Haile J. M., 1992, MOL DYNAMICS SIMULAT
[10]   Lattice thermal conductivity of semiconducting bulk materials: atomistic simulations [J].
He, Yuping ;
Savic, Ivana ;
Donadio, Davide ;
Galli, Giulia .
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2012, 14 (47) :16209-16222