Mesoscopic model for diffusion-influenced reaction dynamics

被引:57
|
作者
Tucci, K
Kapral, R
机构
[1] Max Planck Inst Phys Komplexer Syst, D-01187 Dresden, Germany
[2] Univ Los Andes, SUMA, CeSiMo, Merida 5101, Venezuela
[3] Univ Toronto, Dept Chem, Chem Phys Theory Grp, Toronto, ON M5S 3H6, Canada
来源
JOURNAL OF CHEMICAL PHYSICS | 2004年 / 120卷 / 17期
关键词
D O I
10.1063/1.1690244
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
hybrid mesoscopic multiparticle collision model is used to study diffusion-influenced reaction kinetics. The mesoscopic particle dynamics conserves mass, momentum, and energy so that hydrodynamic effects are fully taken into account. Reactive and nonreactive interactions with catalytic solute particles are described by full molecular dynamics. Results are presented for large-scale, three-dimensional simulations to study the influence of diffusion on the rate constants of the A + C double left right arrow B + C reaction. In the limit of a dilute solution of catalytic C particles, the simulation results are compared with diffusion equation approaches for both the irreversible and reversible reaction cases. Simulation results for systems where the volume fraction phi of catalytic spheres is high are also presented, and collective interactions among reactions on catalytic spheres that introduce volume fraction dependence in the rate constants are studied. (C) 2004 American Institute of Physics.
引用
收藏
页码:8262 / 8270
页数:9
相关论文
共 50 条
  • [1] Mesoscopic dynamics of diffusion-influenced enzyme kinetics
    Chen, Jiang-Xing
    Kapral, Raymond
    JOURNAL OF CHEMICAL PHYSICS, 2011, 134 (04):
  • [2] Theory of Diffusion-Influenced Reaction Networks
    Gopich, Irina V.
    Szabo, Attila
    JOURNAL OF PHYSICAL CHEMISTRY B, 2018, 122 (49): : 11338 - 11354
  • [3] A model of diffusion-influenced enzyme activation
    Molski, A
    JOURNAL OF PHYSICAL CHEMISTRY B, 2000, 104 (18): : 4532 - 4536
  • [4] An efficient molecular dynamics simulation method for calculating the diffusion-influenced reaction rates
    Lee, JN
    Yang, SG
    Kim, J
    Lee, S
    JOURNAL OF CHEMICAL PHYSICS, 2004, 120 (16): : 7564 - 7575
  • [5] Communication: Resonance reaction in diffusion-influenced bimolecular reactions
    Kolb, Jakob J.
    Angioletti-Uberti, Stefano
    Dzubiella, Joachim
    JOURNAL OF CHEMICAL PHYSICS, 2016, 144 (08):
  • [6] A rigorous foundation of the diffusion-influenced bimolecular reaction kinetics
    Kim, Ji-Hyun
    Lee, Sangyoub
    JOURNAL OF CHEMICAL PHYSICS, 2009, 131 (01):
  • [7] Multiparticle collision dynamics for diffusion-influenced signaling pathways
    Strehl, R.
    Rohlf, K.
    PHYSICAL BIOLOGY, 2016, 13 (04)
  • [8] KINETICS OF DIFFUSION-INFLUENCED REACTIONS STUDIED BY BROWNIAN DYNAMICS
    ZHOU, HX
    JOURNAL OF PHYSICAL CHEMISTRY, 1990, 94 (25): : 8794 - 8800
  • [9] Diffusion-influenced reaction rates in the presence of pair interactions
    Dibak, Manuel
    Froehner, Christoph
    Noe, Frank
    Hofling, Felix
    JOURNAL OF CHEMICAL PHYSICS, 2019, 151 (16):
  • [10] DIFFUSION-INFLUENCED REACTIONS
    CUKIER, RI
    JOURNAL OF STATISTICAL PHYSICS, 1986, 42 (1-2) : 69 - 82