Visual simulation of GaInP thin film growth

Zhu, Wenqing; Hu, Guihua; Hu, Xiaomei; Li, Hongbo; Zhang, Wei

doi:10.1016/j.simpat.2009.09.011

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…Three decades ago, Monte Carlo (MC) method was used to study the dynamic process. The basic idea of the MC method is that the solution of the problem is equivalent to hypothetical statistical model parameters using random number, and the parameters are estimated by the statistical model of a sample [23]. Okin proposed MC method to simulate airborne dust diffusion model [24].…”

Section: Introductionmentioning

confidence: 99%

Kinetic-Monte-Carlo-Based Parallel Evolution Simulation Algorithm of Dust Particles

Hu¹,

Xu²,

Cai³

et al. 2014

Journal of Applied Mathematics

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The evolution simulation of dust particles provides an important way to analyze the impact of dust on the environment. KMC-based parallel algorithm is proposed to simulate the evolution of dust particles. In the parallel evolution simulation algorithm of dust particles, data distribution way and communication optimizing strategy are raised to balance the load of every process and reduce the communication expense among processes. The experimental results show that the simulation of diffusion, sediment, and resuspension of dust particles in virtual campus is realized and the simulation time is shortened by parallel algorithm, which makes up for the shortage of serial computing and makes the simulation of large-scale virtual environment possible.

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Section: Introductionmentioning

confidence: 99%