Accurate method for the Brownian dynamics simulation of spherical particles with hard-body interactions

被引:11
|
作者
Barenbrug, TMAOM
Peters, EAJF
Schieber, JD
机构
[1] Univ Naples Federico 2, Dipartimento Ingn Chim, I-80125 Naples, Italy
[2] Univ Amsterdam, Dept Chem Engn, NL-1018 WV Amsterdam, Netherlands
[3] IIT, Ctr Excellence Polymer Sci & Engn, Chicago, IL 60615 USA
[4] IIT, Dept Chem Engn, Chicago, IL 60615 USA
来源
JOURNAL OF CHEMICAL PHYSICS | 2002年 / 117卷 / 20期
关键词
D O I
10.1063/1.1515775
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
In Brownian Dynamics simulations, the diffusive motion of the particles is simulated by adding random displacements, proportional to the square root of the chosen time step. When computing average quantities, these Brownian contributions usually average out, and the overall simulation error becomes proportional to the time step. A special situation arises if the particles undergo hard-body interactions that instantaneously change their properties, as in absorption or association processes, chemical reactions, etc. The common "naive simulation method" accounts for these interactions by checking for hard-body overlaps after every time step. Due to the simplification of the diffusive motion, a substantial part of the actual hard-body interactions is not detected by this method, resulting in an overall simulation error proportional to the square root of the time step. In this paper we take the hard-body interactions during the time step interval into account, using the relative positions of the particles at the beginning and at the end of the time step, as provided by the naive method, and the analytical solution for the diffusion of a point particle around an absorbing sphere. Ottinger used a similar approach for the one-dimensional case [Stochastic Processes in Polymeric Fluids (Springer, Berlin, 1996), p. 270]. We applied the "corrected simulation method" to the case of a simple, second-order chemical reaction. The results agree with recent theoretical predictions [K. Hyojoon and Joe S. Kook, Phys. Rev. E 61, 3426 (2000)]. The obtained simulation error is proportional to the time step, instead of its square root. The new method needs substantially less simulation time to obtain the same accuracy. Finally, we briefly discuss a straightforward way to extend the method for simulations of systems with additional (deterministic) forces. (C) 2002 American Institute of Physics.
引用
收藏
页码:9202 / 9214
页数:13
相关论文
共 50 条
  • [21] BROWNIAN DYNAMICS SIMULATION OF SEDIMENT FORMATION OF COLLOIDAL PARTICLES
    SOPPE, WJ
    JANSSEN, GJM
    JOURNAL OF CHEMICAL PHYSICS, 1992, 96 (09): : 6996 - 7004
  • [22] A BROWNIAN DYNAMICS SIMULATION OF AEROSOL DEPOSITION ONTO SPHERICAL COLLECTORS
    GUPTA, D
    PETERS, MH
    JOURNAL OF COLLOID AND INTERFACE SCIENCE, 1985, 104 (02) : 375 - 389
  • [23] Brownian Dynamics simulation of hard-sphere colloidal dispersions
    Foss, DR
    Brady, JF
    JOURNAL OF RHEOLOGY, 2000, 44 (03) : 629 - 651
  • [24] BROWNIAN DYNAMICS SIMULATION OF PROTEIN-PROTEIN INTERACTIONS
    NAMBI, P
    WIERZBICKI, A
    ALLISON, SA
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1991, 201 : 192 - PHYS
  • [25] Particle interactions in colloidal aggregation by Brownian dynamics simulation
    Puertas, A.M.
    Maroto, J.A.
    Barbero, A. Fernandez
    de las Nieves, F.J.
    Physical Review E. Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 1999, 59 (2-B):
  • [26] Brownian dynamics method for simulation of binding kinetics of patterned colloidal spheres with hydrodynamic interactions
    Liu, Jun
    Larson, Ronald G.
    JOURNAL OF CHEMICAL PHYSICS, 2013, 138 (17):
  • [27] Particle interactions in colloidal aggregation by Brownian dynamics simulation
    Puertas, AM
    Maroto, JA
    Barbero, AF
    de las Nieves, FJ
    PHYSICAL REVIEW E, 1999, 59 (02) : 1943 - 1947
  • [28] A FAST ALGORITHM FOR BROWNIAN DYNAMICS SIMULATION WITH HYDRODYNAMIC INTERACTIONS
    Jiang, Shidong
    Liang, Zhi
    Huang, Jingfang
    MATHEMATICS OF COMPUTATION, 2013, 82 (283) : 1631 - 1645
  • [29] Collective dynamics in systems of active Brownian particles with dissipative interactions
    Lobaskin, Vladimir
    Romenskyy, Maksym
    PHYSICAL REVIEW E, 2013, 87 (05)
  • [30] An Exact Brownian Dynamics Method for Cell Simulation
    Takahashi, Koichi
    COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY, PROCEEDINGS, 2008, 5307 : 5 - 6