Monte Carlo simulations of orientational ordering of solutes in a nematic solvent: Comparison with mean-field models

被引:0
|
作者
Polson, JM [1 ]
Burnell, EE [1 ]
机构
[1] UNIV BRITISH COLUMBIA, DEPT CHEM, VANCOUVER, BC V6T 1Z1, CANADA
关键词
D O I
10.1080/00268979650026280
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
Monte Carlo simulations were used to study orientational ordering of solutes in a nematic phase. Nematogens were modelled as hard prolate ellipsoids with an axis ratio of 5:1. Solutes were also modelled as hard prolate ellipsoids, with a variety of sizes and shape anisotropies. Solute order parameters and singlet orientational distribution functions were analysed using several mean-field models. The results confirm that these empirical mean-field potentials are closely linked to the anisotropic short-range repulsive forces that are crucial for the formation of the nematic phase.
引用
收藏
页码:767 / 782
页数:16
相关论文
共 50 条
  • [21] Reactive dynamics on two-dimensional supports: Monte Carlo simulations and mean-field theory
    Kalosakas, G
    Provata, A
    PHYSICAL REVIEW E, 2001, 63 (06):
  • [22] Tracer and transport diffusion in zeolites - Monte-Carlo simulations and mean-field theory.
    Coppens, MO
    Chakraborty, AK
    Bell, AT
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1999, 217 : U694 - U694
  • [23] Mean Field Monte Carlo Methods: Application to Nematic Transition
    Maeda, T.
    Doi, M.
    Journal of the Physical Society of Japan, 65 (09):
  • [24] Mean field Monte Carlo methods: Application to nematic transition
    Maeda, T
    Doi, M
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 1996, 65 (09) : 2895 - 2899
  • [25] Mean-field theory of ordering in polymer systems with orientational-deformation interactions
    Maksimov, A. V.
    Maksimova, O. G.
    Fedorov, D. S.
    POLYMER SCIENCE SERIES A, 2006, 48 (07) : 751 - 762
  • [26] Mean-field theory of ordering in polymer systems with orientational-deformation interactions
    A. V. Maksimov
    O. G. Maksimova
    D. S. Fedorov
    Polymer Science Series A, 2006, 48 : 751 - 762
  • [27] Incorporating dynamic mean-field theory into diagrammatic Monte Carlo
    Pollet, Lode
    Prokof'ev, Nikolay V.
    Svistunov, Boris V.
    PHYSICAL REVIEW B, 2011, 83 (16):
  • [28] MONTE-CARLO MEAN-FIELD METHOD FOR SPIN SYSTEMS
    HENRIQUES, EF
    HENRIQUES, VB
    SALINAS, SR
    PHYSICAL REVIEW B, 1995, 51 (13) : 8621 - 8623
  • [29] Mean-field approach to Pb-mediated growth of Ge on Si(111): Comparison with experiment and kinetic Monte Carlo simulations
    Beben, Janusz
    Oleksy, Czeslaw
    Klik, Ivo
    Tsong, Tien T.
    PHYSICAL REVIEW B, 2007, 75 (04)
  • [30] Reexamination of the mean-field phase diagram of biaxial nematic liquid crystals: Insights from Monte Carlo studies
    Latha, B. Kamala
    Jose, Regina
    Murthy, K. P. N.
    Sastry, V. S. S.
    PHYSICAL REVIEW E, 2015, 92 (01):