THE CONDITION OF MICROSCOPIC REVERSIBILITY IN GIBBS ENSEMBLE MONTE-CARLO SIMULATIONS OF PHASE-EQUILIBRIA

被引:21
|
作者
RULL, LF [1 ]
JACKSON, G [1 ]
SMIT, B [1 ]
机构
[1] KONINKLIJKE SHELL EXPTL PROD LAB,1031 BN AMSTERDAM,NETHERLANDS
关键词
D O I
10.1080/00268979500101231
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
The condition of microscopic reversibility, also referred to as detailed balance, is examined in the context of Monte Carlo simulations in the Gibbs ensemble. The technique is used widely in the simulation of phase equilibria for liquids and their mixtures, and represents an invaluable tool in the area. The two coexisting phases are simulated as separate subsystems by performing three distinct Monte Carlo moves which include random displacements of particles in each subsystem, random changes in volume, and random transfers of particles between the two subsystems. Here, the particle transfer step of the Gibbs ensemble technique, as commonly implemented, is shown to be reversible. Other valid reversible criteria are presented for pure fluids and mixtures. The vapour-liquid equilibria of the pure square-well fluid with a range of lambda = 1.5 are examined with the various criteria. As expected, the choice of criteria makes little difference for pure fluids. The results are also presented of liquid-liquid immiscibility for a symmetrical square-well mixture with range lambda = 1.5 in which the unlike interactions are purely repulsive. For this mixture the various reversible algorithms for particle transfers give essentially equivalent results, although the efficiency in sampling phase space is sometimes quite different.
引用
收藏
页码:435 / 447
页数:13
相关论文
共 50 条
  • [31] Influence of simulation protocols on the efficiency of Gibbs ensemble Monte Carlo simulations
    Morales, Angel D. Cortes
    Economou, Ioannis G.
    Peters, Cornelis J.
    Siepmann, J. Ilja
    [J]. MOLECULAR SIMULATION, 2013, 39 (14-15) : 1135 - 1142
  • [32] Gibbs ensemble Monte Carlo simulations for additive loading in surfactant bilayers
    Minkara, Mona
    Siepmann, J.
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255
  • [33] Gibbs ensemble Monte Carlo simulations of multicomponent natural gas mixtures
    Ramdin, M.
    Jamali, S. H.
    Becker, T. M.
    Vlugt, T. J. H.
    [J]. MOLECULAR SIMULATION, 2018, 44 (05) : 377 - 383
  • [34] MONTE-CARLO SIMULATIONS OF ADSORPTION EQUILIBRIA AT STATES NEAR BULK FLUID PHASE BOUNDARIES
    FAN, Y
    FINN, JE
    MONSON, PA
    [J]. FLUID PHASE EQUILIBRIA, 1992, 75 : 163 - 183
  • [35] GIBBS-ENSEMBLE PATH-INTEGRAL MONTE-CARLO SIMULATIONS OF A MIXED QUANTUM-CLASSICAL FLUID
    SCHNEIDER, F
    MARX, D
    NIELABA, P
    [J]. PHYSICAL REVIEW E, 1995, 51 (05): : 5162 - 5165
  • [36] MONTE-CARLO SIMULATIONS IN THE ISOENTHALPIC-ISOTENSION-ISOBARIC ENSEMBLE
    FAY, PJ
    RAY, JR
    [J]. PHYSICAL REVIEW A, 1992, 46 (08): : 4645 - 4649
  • [38] Monte-Carlo simulations
    Giersz, M
    [J]. DYNAMICAL EVOLUTION OF STAR CLUSTERS - CONFRONTATION OF THEORY AND OBSERVATIONS, 1996, (174): : 101 - 110
  • [39] Quantum Gibbs ensemble Monte Carlo
    Fantoni, Riccardo
    Moroni, Saverio
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2014, 141 (11):
  • [40] Utilizing Gibbs ensemble molecular dynamics and hybrid Monte Carlo/molecular dynamics simulations for efficient study of polymer-solvent phase equilibria
    Gartner, Thomas
    Epps, Thomas
    Jayaraman, Arthi
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 252