Fokker-Planck equation for lattice vibration: Stochastic dynamics and thermal conductivity

被引:5
|
作者
Zeng, Yi [1 ]
Dong, Jianjun [2 ]
机构
[1] Auburn Univ, Dept Mech Engn, Auburn, AL 36849 USA
[2] Auburn Univ, Dept Phys, Auburn, AL 36849 USA
关键词
BOLTZMANN TRANSPORT-EQUATION; MOLECULAR-DYNAMICS; IRREVERSIBLE-PROCESSES; PRESSURE-DEPENDENCE; PHONONS; SOLVER; MGO;
D O I
10.1103/PhysRevB.99.014306
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We propose a Fokker-Planck equation (FPE) theory to describe stochastic fluctuation and relaxation processes of lattice vibration at a wide range of conditions, including those beyond the phonon gas limit. Using the time-dependent, multiple state-variable probability function of a vibration FPE, we first derive time-correlation functions of lattice heat currents in terms of correlation functions among multiple vibrational modes, and subsequently predict the lattice thermal conductivity based on the Green-Kubo formalism. When the quasiparticle kinetic transport theories are valid, this vibration FPE not only predicts a lattice thermal conductivity that is identical to the one predicted by the phonon Boltzmann transport equation, but also provides additional microscopic details on the multiple-mode correlation functions. More importantly, when the kinetic theories become insufficient due to the breakdown of the phonon gas approximation, this FPE theory remains valid to study the correlation functions among vibrational modes in highly anharmonic lattices with significant mode-mode interactions and/or in disordered lattices with strongly localized modes. At the limit of weak mode-mode interactions, we can adopt quantum perturbation theories to derive the drift/diffusion coefficients based on the lattice anharmonicity data derived from first-principles methods. As temperature elevates to the classical regime, we can perform molecular dynamics simulations to directly compute the drift/diffusion coefficients. Because these coefficients are defined as ensemble averages at the limit of delta t -> 0, we can implement massive parallel simulation algorithms to take full advantage of the paralleled high-performance computing platforms. A better understanding of the temperature-dependent drift/diffusion coefficients up to melting temperatures will provide new insights on microscopic mechanisms that govern the heat conduction through anharmonic and/or disordered lattices beyond the phonon gas model.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Lattice Fokker-Planck equation
    Succi, S.
    Melchionna, S.
    Hansen, J. -P.
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2006, 17 (04): : 459 - 470
  • [2] Stochastic dynamics and Fokker-Planck equation in accelerator physics
    Mais, H
    Zorzano, MP
    NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA A-NUCLEI PARTICLES AND FIELDS, 1999, 112 (05): : 467 - 474
  • [3] Dynamics of the Fokker-Planck equation
    Jordan, R
    Kinderlehrer, D
    Otto, F
    PHASE TRANSITIONS, 1999, 69 (03) : 271 - 288
  • [4] FOKKER-PLANCK EQUATION AND CONDUCTIVITY OF PLASMAS TO MICROWAVES
    BRAGLIA, GL
    FERRARI, L
    PHYSICA, 1974, 71 (01): : 243 - 257
  • [5] Fokker-Planck equation for lattice deposition models
    Baggio, C
    Vardavas, R
    Vvedensky, DD
    PHYSICAL REVIEW E, 2001, 64 (04): : 4 - 451034
  • [6] Solving the Fokker-Planck kinetic equation on a lattice
    Moroni, Daniele
    Rotenberg, Benjamin
    Hansen, Jean-Pierre
    Succi, Sauro
    Melchionna, Simone
    PHYSICAL REVIEW E, 2006, 73 (06)
  • [7] ON FOKKER-PLANCK EQUATION IN STOCHASTIC THEORY OF MORTALITY
    TRUCCO, E
    BULLETIN OF MATHEMATICAL BIOPHYSICS, 1963, 25 (03): : 303 - &
  • [8] The quantum Fokker-Planck equation of stochastic inflation
    Collins, Hael
    Holman, Richard
    Vardanyan, Tereza
    JOURNAL OF HIGH ENERGY PHYSICS, 2017, (11):
  • [9] Approximation of the Fokker-Planck equation of the stochastic chemostat
    Campillo, Fabien
    Joannides, Marc
    Larramendy-Valverde, Irene
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2014, 99 : 37 - 53
  • [10] Stochastic stability of fractional Fokker-Planck equation
    Zhang, Yutian
    Chen, Feng
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 410 : 35 - 42