Continuous-time random-walk approach to supercooled liquids: Self-part of the van Hove function and related quantities

被引:8
|
作者
Helfferich, J. [1 ]
Brisch, J. [2 ]
Meyer, H. [2 ]
Benzerara, O. [2 ]
Ziebert, F. [3 ]
Farago, J. [2 ]
Baschnagel, J. [2 ]
机构
[1] Karlsruhe Inst Technol, Inst Nanotechnol, D-76021 Karlsruhe, Germany
[2] Univ Strasbourg, CNRS, UPR22, ICS, F-67000 Strasbourg, France
[3] Heidelberg Univ, Inst Theoret Phys, D-69120 Heidelberg, Germany
来源
EUROPEAN PHYSICAL JOURNAL E | 2018年 / 41卷 / 06期
关键词
SPATIALLY HETEROGENEOUS DYNAMICS; MOLECULAR-DYNAMICS; POLYMER MELTS; STRUCTURAL RELAXATION; ANOMALOUS DIFFUSION; GLASS-TRANSITION; SCATTERING; EVENTS; MOTION;
D O I
10.1140/epje/i2018-11680-1
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
From equilibrium molecular dynamics (MD) simulations of a bead-spring model for short-chain glass-forming polymer melts we calculate several quantities characterizing the single-monomer dynamics near the (extrapolated) critical temperature T-c of mode-coupling theory: the mean-square displacement g(0)(t), the non-Gaussian parameter alpha(2)(t) and the self-part of the van Hove function G(s)(r, t) which measures the distribution of monomer displacements r in time t. We also determine these quantities from a continuous-time random walk (CTRW) approach. The CTRW is defined in terms of various probability distributions which we know from previous analysis. Utilizing these distributions the CTRW can be solved numerically and compared to the MD data with no adjustable parameter. The MD results reveal the heterogeneous and non-Gaussian single-particle dynamics of the supercooled melt near T-c. In the time window of the early a relaxation alpha(2)(t) is large and G(s)(r, t) is broad, reflecting the coexistence of monomer displacements that are much smaller ("slow particles") and much larger ("fast particles") than the average at time t, i.e. than r = g(0)(t)(1/2). For large r the tail of G(s)(r, t) is compatible with an exponential decay, as found for many glassy systems. The CTRW can reproduce the spatiotemporal dependence of G(s)(r, t) at a qualitative to semiquantitative level. However, it is not quantitatively accurate in the studied temperature regime, although the agreement with the MD data improves upon cooling. In the early a regime we also analyze the MD results for G(s)(r, t) via the space-time factorization theorem predicted by ideal mode-coupling theory. While we find the factorization to be well satisfied for small r, both above and below T-c, deviations occur for larger r comprising the tail of G(s)(r, t). The CTRW analysis suggests that single-particle "hops" are a contributing factor for these deviations.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] COHERENT AND INCOHERENT EXCITON MOTION IN THE FRAMEWORK OF THE CONTINUOUS-TIME RANDOM-WALK
    BARVIK, I
    SZOCS, V
    PHYSICS LETTERS A, 1987, 125 (6-7) : 339 - 342
  • [32] Staging liver fibrosis by a continuous-time random-walk diffusion model
    Jiang, Yanli
    Fan, Fengxian
    Zhang, Pengfei
    Wang, Jun
    Huang, Wenjing
    Zheng, Yu
    Guo, Ruiqing
    Wang, Shaoyu
    Zhang, Jing
    MAGNETIC RESONANCE IMAGING, 2024, 105 : 100 - 107
  • [33] COHERENT AND INCOHERENT EXCITON MOTION IN THE FRAMEWORK OF THE CONTINUOUS-TIME RANDOM-WALK
    KLAFTER, J
    SILBEY, R
    PHYSICS LETTERS A, 1980, 76 (02) : 143 - 146
  • [34] Continuous-time random-walk aspects in the dynamics of charge and mass transfer
    Alemany, P.
    Blumen, A.
    Polymer Preprints, Division of Polymer Chemistry, American Chemical Society, 1992, 33 (01):
  • [35] Continuous-time random-walk model for anomalous diffusion in expanding media
    Le Vot, F.
    Abad, E.
    Yuste, S. B.
    PHYSICAL REVIEW E, 2017, 96 (03)
  • [36] RANDOM BIAS AS AN EXAMPLE OF GLOBAL DYNAMICAL DISORDER IN CONTINUOUS-TIME RANDOM-WALK THEORIES
    ALEMANY, PA
    CACERES, MO
    BUDDE, CE
    PHYSICAL REVIEW A, 1988, 38 (07) : 3664 - 3671
  • [37] SOME PROPERTIES OF A FRACTAL-TIME CONTINUOUS-TIME RANDOM-WALK IN THE PRESENCE OF TRAPS
    WEISS, GH
    HAVLIN, S
    JOURNAL OF STATISTICAL PHYSICS, 1991, 63 (5-6) : 1005 - 1018
  • [38] AN ANALYSIS AND EXTENSION OF THE CONTINUOUS-TIME RANDOM-WALK METHOD .1. THEORY
    HALPERN, V
    JOURNAL OF PHYSICS C-SOLID STATE PHYSICS, 1981, 14 (22): : 3195 - 3207
  • [39] CONTINUOUS-TIME RANDOM-WALK ASPECTS IN THE DYNAMICS OF CHARGE AND MASS-TRANSFER
    ALEMANY, P
    BLUMEN, A
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1992, 203 : 436 - POLY
  • [40] A SIMULATION OF THE MULTIPLE-TRAPPING MODEL FOR CONTINUOUS-TIME RANDOM-WALK TRANSPORT
    VASUDEVAN, V
    VASI, J
    JOURNAL OF APPLIED PHYSICS, 1993, 74 (05) : 3224 - 3231