Nano-particles produced at high temperatures often undergo rapid coalescence with complex associated rate laws. In this paper we develop and study the numerical properties of a stochastic algorithm for the modelling of nano-particle dynamics in the free molecular regime. Following the work in A. Eib
An efficient algorithm for the brownian dynamics simulation of aggregation
β Scribed by Francis Sullivan; Raymond D. Mountain
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 531 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0010-4655
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β¦ Synopsis
Computer simulation techniques have proven to be quite useful for studying the structure of particulates produced by the process of growth through the aggregation of smaller particles. In this paper we introduce an efficient algorithm for use in the computer simulation of the kinetics of the growth of particulates. The new algorithm is based on sorting and data structures for set manipulations. Computer tests indicate that running time is reduced by a factor of four as compared to "conventional" methods.
π SIMILAR VOLUMES
The Verlet, Verlet leap frog, Gear fixed time step. Gear variable time step, Runge-Kutta, and Gauss-Radau algorithms have been compared using trajectory data obtained from the integration of a one-dimensional diatomic chain under constant pressure. Investigation into the times of local and normal mo
A fast efficient algorithm may be used for integrating very large (n >> 10) stiffdifferential equations of the type R = Ax + Bu + f(x, t), x(t0) = x0, wh ere f(x, t) has a small Lipschitz constant. Summary--An algorithm for integrating high dimensional stiff nonlinear differential equations of the
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