Investigation of a Monte Carlo model for chemical reactions

被引:0
|
作者
R. N. Hamm
M. G. Stabin
J. E. Turner
机构
[1] Life Sciences Division,
[2] Oak Ridge National Laboratory,undefined
[3] Oak Ridge,undefined
[4] TN 37831,undefined
[5] USA Tel.: +1-423-574-6217,undefined
[6] Fax: +1-423-576-4407 e-mail: jeturner@usit.net,undefined
[7] Oak Ridge Institute for Science and Education,undefined
[8] P. O. Box 117,undefined
[9] Oak Ridge,undefined
[10] TN 37831-0117,undefined
[11] USA,undefined
来源
关键词
Spatial Distribution; Computer Simulation; Survival Time; Model Calculation; Monte Carlo Computer Simulation;
D O I
暂无
中图分类号
学科分类号
摘要
Monte Carlo computer simulations are in use at a number of laboratories for calculating time-dependent yields, which can be compared with experiments in the radiolysis of water. We report here on calculations to investigate the validity and consistency of the procedures used for simulating chemical reactions in our code, RADLYS. Model calculations were performed of the rate constants themselves. The rates thus determined showed an expected rapid decline over the first few hundred ps and a very gradual decline thereafter out to the termination of the calculations at 4.5 ns. Results are reported for different initial concentrations and numbers of reactive species. Generally, the calculated rate constants are smallest when the initial concentrations of the reactants are largest. It is found that inhomogeneities that quickly develop in the initial random spatial distribution of reactants persist in time as a result of subsequent chemical reactions, and thus conditions may poorly approximate those assumed from diffusion theory. We also investigated the reaction of a single species of one type placed among a large number of randomly distributed species of another type with which it could react. The distribution of survival times of the single species was calculated by using three different combinations of the diffusion constants for the two species, as is sometimes discussed in diffusion theory. The three methods gave virtually identical results.
引用
收藏
页码:151 / 156
页数:5
相关论文
共 50 条
  • [31] Kinetic Monte Carlo models for the study of chemical reactions in the Earth’s upper atmosphere
    L. I. Turchak
    V. I. Shematovich
    Computational Mathematics and Mathematical Physics, 2016, 56 : 1142 - 1150
  • [32] Chemical reactions in highly non-ideal environments: Reactive Monte Carlo simulations
    Brennan, JK
    Turner, CH
    Rice, BM
    Gubbins, KE
    MONTE CARLO METHOD IN THE PHYSICAL SCIENCES, 2003, 690 : 374 - 375
  • [33] Monte Carlo simulations of surface chemical reactions: Irreversible phase transitions and oscillatory behaviour
    Albano, EV
    COMPUTER PHYSICS COMMUNICATIONS, 1999, 121 : 388 - 391
  • [34] Monte Carlo simulations of surface chemical reactions: Irreversible phase transitions and oscillatory behaviour
    Albano, Ezequiel V.
    Computer Physics Communications, 1999, 121 : 388 - 391
  • [35] Modelling of chemical reactions in hypersonic rarefied flow with the direct simulation Monte Carlo method
    Gallis, Michael A.
    Harvey, John K.
    Journal of Fluid Mechanics, 1996, 312 : 149 - 172
  • [36] Kinetic Monte Carlo models for the study of chemical reactions in the Earth's upper atmosphere
    Turchak, L. I.
    Shematovich, V. I.
    COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, 2016, 56 (06) : 1142 - 1150
  • [37] A Monte Carlo investigation of the BDS statistic
    Gao, AH
    Hazilla, M
    Wang, GHK
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 1999, 62 (04) : 319 - 356
  • [38] A Monte Carlo investigation of electron backscattering
    Frujinoiu, C
    Brey, RR
    RADIATION PROTECTION DOSIMETRY, 2001, 97 (03) : 223 - 229
  • [39] MONTE-CARLO STUDY OF A MODEL OF DIFFUSION-CONTROLLED REACTIONS - COMMENT
    MATTERN, K
    FELDERHOF, BU
    JOURNAL OF CHEMICAL PHYSICS, 1986, 85 (09): : 5382 - 5383
  • [40] A Monte Carlo model of deuteron emission in pre-equilibrium nuclear reactions
    Teixeira, E. A.
    Carlson, B., V
    XLI BRAZILIAN MEETING ON NUCLEAR PHYSICS (RTFNB), 2019, 1291