A Simulation for the Electrical Conductivity of Nanocomposites Filled with Carbon Black Based on the Three-dimensional Monte Carlo Method

2021 ◽  
Vol 63 (2) ◽  
pp. 196-207
Author(s):  
Jiawen Ji ◽  
Panpan Xia ◽  
Xun Zhu ◽  
Ping Liu ◽  
Chen Wu ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Carbon Black ◽  
Three Dimensional

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.

scholarly journals BROAD HISTOGRAM METHOD FOR CONTINUOUS SYSTEMS: THE XY-MODEL

1999 ◽  
Vol 10 (01) ◽  
pp. 95-113 ◽  
Author(s):  
JOSÉ D. MUÑOZ ◽  
HANS J. HERRMANN
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Degrees Of Freedom ◽  
Three Dimensional ◽  
Large Temperature ◽  
Xy Model ◽  
Continuous Systems ◽  
Histogram Method ◽  
Temperature Range ◽  
Cpu Time

We propose a way of implementing the Broad Histogram Monte Carlo method to systems with continuous degrees of freedom, and we apply these ideas to investigate the three-dimensional XY-model with periodic boundary conditions. We have found an excellent agreement between our method and traditional Metropolis results for the energy, the magnetization, the specific heat and the magnetic susceptibility on a very large temperature range. For the calculation of these quantities in the temperature range 0.7<T<4.7 our method took less CPU time than the Metropolis simulations for 16 temperature points in that temperature range. Furthermore, it calculates the whole temperature range 1.2<T<4.7 using only 2.2 times more computer effort than the Histogram Monte Carlo method for the range 2.1<T<2.2. Our way of treatment is general; it can also be applied to other systems with continuous degrees of freedom.

STRUCTURE SIMULATIONS OF LIQUID S AND LIQUID Te BY UNCONSTRAINED REVERSE MONTE CARLO METHOD

1996 ◽  
Vol 10 (25) ◽  
pp. 1267-1276 ◽  
Author(s):  
M. ANDRECUT
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Three Dimensional ◽  
Distribution Model ◽  
Dimensional Structure ◽  
Angle Distribution ◽  
Structural Constraints ◽  
Reverse Monte Carlo ◽  
Three Body ◽  
Reverse Monte Carlo Method

A spatial atomic distribution model of liquid S (L-S) and liquid Te (L-Te) was generated by using the experimental diffraction data and reverse Monte Carlo method without applying structural constraints. The obtained models have been analysed in terms of near-atomic-neighbour, bond-angle distribution, three-body correlations and chain statistics. The analysis of the generated models has shown that the three-dimensional structure of the investigated liquids can be well described as a network of short chains.

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