Kinetic Monte Carlo simulations of plasma-chemistry

被引:6
|
作者
Dias, Tiago C. [1 ]
Guerra, Vasco [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Inst Plasmas & Fusao Nucl, Lisbon, Portugal
来源
PLASMA SOURCES SCIENCE & TECHNOLOGY | 2020年 / 29卷 / 11期
关键词
low-temperature plasmas; plasma modelling; chemical kinetics; kinetic Monte Carlo; variance reduction; GAS-GRAIN CHEMISTRY; CHEMICAL INSTABILITIES; STOCHASTIC SIMULATION; DISCHARGE; TRANSITIONS; ELECTRON; OXYGEN;
D O I
10.1088/1361-6595/abb7bf
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
This work presents a kinetic Monte Carlo algorithm to solve the gas-phase chemistry in low-temperature plasmas, as a first effort to achieve a unified formulation of the electron and heavy-particle kinetics based on Monte Carlo techniques. The implemented algorithm is successfully validated in the thermodynamic limit from the comparison with the traditional deterministic description using rate-balance equations. The accuracy of the Monte Carlo description of the rare species strongly depends on the number of particles used in the simulation. To surpass this limitation, two novel variance reduction techniques that significantly reduce the statistical fluctuations on the concentrations of the minor species are proposed and evaluated. These techniques lead to significant gains in computational time, up to factors of the order of 10(4) times in the cases studied, while ensuring the same quality of the solution.
引用
收藏
页数:10
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