Abstract
Abstract
We develop in this paper a hybrid kinetic Monte Carlo and continuous thermodynamically based model for the simulation
of homogeneous nucleation under burst regime when a long incubation time is followed by rapid nucleation of stable nuclei.
In this model we assume that the kinetics of particle nucleation and disaggregation is governed by a Smoluchowski equation while the size of a stable
nuclei is taken from the thermodynamic theory of nucleation with varying supersaturation under metastable conditions.
We show that the Smoluchowski equations without the metastable conditions cannot describe the regime of burst nucleation
showing the following general feature: the longer the incubation time, the slower the nucleation rate even if a multiple disaggregation is assumed. In contrast, a combined hybrid Monte Carlo and metastable thermodynamic model suggested is able to
predict a long incubation time followed by rapid nucleation regime. A series of numerical simulations presented supports this conclusion.
Funder
Russian Science Foundation
Subject
Applied Mathematics,Statistics and Probability
Reference52 articles.
1. Monte Carlo simulation of the coagulation processes governed by Smoluchowski equation with random coefficients;Monte Carlo Methods Appl.,1997
2. Stochastic Lagrangian model for spatially inhomogeneous Smoluchowski equation governing coagulating and diffusing particles;Monte Carlo Methods Appl.,2001
3. On a Monte Carlo scheme for Smoluchowski’s coagulation equation;Monte Carlo Methods Appl.,1999
4. Stochastic coalescence;Technometrics,1968
5. Deterministic and stochastic models for coalescence (aggregation and coagulation): A review of the mean-field theory for probabilists;Bernoulli,1999
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献