scholarly journals Angular Transmittance Analysis of a Novel Thermotropic Material

2013 ◽  
Vol 2013 ◽  
pp. 1-4
Author(s):  
Jian Yao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Major Part ◽  
Scattered Light ◽  
Transmitted Light ◽  
Switching Process ◽  
Angle Distribution ◽  
Different Temperatures

This paper uses inverse adding-doubling (IAD) method and Monte Carlo method for the simulation of the spectral angular transmittance of a novel kind of thermotropic material at different temperatures. The results show that the collimated light takes the major part at the beginning of the switching process and the scattered light is negligible. However, the scattered light increased to high above 80% of the total transmitted light with the largest angle distribution of scattered light about 30 degrees as temperature elevated.

Theoretical Study of Twin Boundary Motion in Heusler Ni-Mn-Ga Alloys Using Monte Carlo Method

2012 ◽  
Vol 190 ◽  
pp. 327-330
Author(s):  
K.I. Kostromitin ◽  
Vasiliy D. Buchelnikov ◽  
V.V. Sokolovskiy ◽  
P. Entel
Keyword(s):  
Magnetic Field ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Monte Carlo Simulations ◽  
Twin Boundary ◽  
Constant Temperature ◽  
Theoretical Study ◽  
Heusler Alloys ◽  
Boundary Motion ◽  
Different Temperatures

The twin boundary motion in Ni-Mn-Ga Heusler alloys has been investigated using Monte Carlo simulations. The Hamiltonian of system includes magnetic and elastic parts and two magnetoelastic terms. It is shown that the twin boundary shifts in a magnetic field at the constant temperature. The spin and strain volume fractions have been obtained at different temperatures.

Influence of Rear Earth Yb on the Specific Heat of Liquid Fe-Co-Yb Alloy

2013 ◽  
Vol 690-693 ◽  
pp. 1840-1845 ◽  
Author(s):  
Wen Jing Yao ◽  
Nan Wang ◽  
Jeh Yun Lee
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Specific Heat ◽  
Atomic Radius ◽  
Atomic Mass ◽  
Temperature Range ◽  
Thermophysical Parameters ◽  
Different Temperatures ◽  
Complex Arrangement

By Monte Carlo method with EAM potentials, the specific heat of liquid Co50Fe50and Co48Fe48Th4alloys at different temperatures are obtained. The effect of Th on the thermophysical parameters is examined. Over the temperature range from 1400 to 2000 K, the specific heat decreases from to Jmol-1K-1after Th was added. It is the addition of Th element which has bigger atomic radius, larger atomic mass, and complex arrangement of extranuclear electron, leads to the reduced specific heat.

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.

Monte Carlo Computations on Molten Caesium Bromide

1975 ◽  
Vol 30 (1) ◽  
pp. 83-86 ◽  
Author(s):  
Chiara Margheritis ◽  
Cesare Sinistri
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Thermodynamic Properties ◽  
Total Energy ◽  
Distribution Functions ◽  
Radial Distribution Functions ◽  
Pair Potentials ◽  
The Monte Carlo Method ◽  
Different Temperatures ◽  
Increasing Temperature

Abstract Molten CsBr was computer simulated tat 1 atm and four different temperatures using the Monte Carlo method. Structural and thermodynamic properties of the melt were obtained on the basis of pair potentials. In particular, radial distribution functions, volume, and energy with its coulomb, dipole-dipole, and repulsive components were determined. Separately, the polarization energy was also evaluated: this quantity increases with increasing temperature and ranges between 2 and 4% of the total energy.

Simulation of transmitted light through atmosphere by Monte Carlo method

2011 ◽  
Vol 23 (3) ◽  
pp. 779-782
Author(s):  
吴真 Wu Zhen ◽  
贺俊芳 He Junfang ◽  
吴登科 Wu Dengke ◽  
吕百达 Lü Baida
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Transmitted Light

Simulation of Ising Model by Monte Carlo Method

2014 ◽  
Vol 936 ◽  
pp. 2271-2275
Author(s):  
Cui Ying Song ◽  
Chuan Dong Li
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Ising Model ◽  
Analytic Method ◽  
Dependency Relationship ◽  
Magnetization Intensity ◽  
Different Temperatures

Simulating Ising model to calculate magnetization intensity by Monte Carlo method. The Ising model was introduced simply, sampled importantly, and calculated with programming. It shows the dependency relationship between the magnetization intensity and the size of dot-square line in different temperatures for Ising model. It cans edulcorate the approximation of analytic method by computer simulating. It obtains a method to appraise a model right or wrong by comparing the model and the experimental data.

Numerical Investigation on Percolation Threshold of CNT-Reinforced Conductive Composites Based on Three-Dimensional Monte Carlo Method

2018 ◽  
Author(s):  
Zhuangzhuang He ◽  
Lijun Li ◽  
Taikun Wang ◽  
Yantao Wang ◽  
Xudong Yang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Percolation Threshold ◽  
Numerical Models ◽  
Conductive Polymer ◽  
Three Dimensional ◽  
Resin Matrix ◽  
Length Variation ◽  
Angle Distribution ◽  
Conductive Composites

It is reported that carbon nanotube (CNT)-based conductive polymer composites have potential application prospect in structural health monitoring and flexible sensors. However, the current price of CNTs is relatively high compared with other fillers. To reduce the materials cost and ensure the sensing characteristics of this type of materials, the most economic and least amount of CNTs needed should be found, this balance value is called as electrical percolation threshold (EPT) in this study. First, a large number of numerical models containing CNTs with three-dimensional random distribution and epoxy resin matrix are established by Monte Carlo method. Then, the construct of conductive network is observed using these models, and the influence of electron tunneling between two adjacent CNTs on the EPT is investigated. Furthermore, the influence of length-diameter ratio (L/D) of CNTs, length variation and angle distribution of CNTs on EPT is investigated. This research provides useful information on how to produce conductive composites more economically.

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