Analysis of Three-Dimensional DC Magnetron Discharge by the Particle-in-Cell/Monte Carlo Method

1997 ◽  
Vol 36 (Part 1, No. 7B) ◽  
pp. 4808-4814 ◽  
Author(s):  
Kenichi Nanbu ◽  
Shuji Kondo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Three Dimensional ◽  
Magnetron Discharge ◽  
Particle In Cell

scholarly journals Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows

2014 ◽  
Vol 342 (10-11) ◽  
pp. 662-670 ◽  
Author(s):  
Claus-Dieter Munz ◽  
Monika Auweter-Kurtz ◽  
Stefanos Fasoulas ◽  
Asim Mirza ◽  
Philip Ortwein ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Direct Simulation Monte Carlo ◽  
Direct Simulation ◽  
Plasma Flows ◽  
Particle In Cell ◽  
Reactive Plasma ◽  
Simulation Monte Carlo

scholarly journals Safety Evaluation of Underground Caverns Based on Monte Carlo Method

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Qifeng Guo ◽  
Zhihong Dong ◽  
Meifeng Cai ◽  
Fenhua Ren ◽  
Jiliang Pan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Three Dimensional ◽  
Safety Evaluation ◽  
Cumulative Distribution ◽  
Three Dimensional Model ◽  
Maximum Displacement ◽  
The Monte Carlo Method ◽  
Underground Caverns ◽  
The Stability

In order to study the influence of joint fissures and rock parameters with random characteristics on the safety of underground caverns, several parameters affecting the stability of surrounding rock of underground caverns are selected. According to the Monte Carlo method, random numbers satisfying normal distribution characteristics are established. A three-dimensional model of underground caverns with random characteristics is established by discontinuous analysis software 3DEC and excavation simulations are carried out. The maximum displacement at the numerical monitoring points of arch and floor is the safety evaluation index of the cavern. The probability distribution and cumulative distribution function of the displacement at the top arch and floor are obtained, and the safety of a project is evaluated.

GREEN'S FUNCTION AND SUPER-PARTICLE METHODS FOR KINETIC SIMULATION OF HETEROEPITAXY

2007 ◽  
Vol 21 (23n24) ◽  
pp. 4219-4224 ◽  
Author(s):  
CHI-HANG LAM ◽  
M. T. LUNG
Keyword(s):  
Thin Films ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Green’S Function ◽  
Green's Function ◽  
Kinetic Monte Carlo ◽  
Three Dimensional ◽  
Particle Methods ◽  
Kinetic Simulation ◽  
Kinetic Monte Carlo Method

Arrays of nanosized three dimensional islands are known to self-assemble spontaneously on strained heteroepitaxial thin films. We simulate the dynamics using kinetic Monte Carlo method based on a ball and spring lattice model. Green's function and super-particle methods which greatly enhance the computational efficiency are explained.

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