scholarly journals Application of computer simulation by the Monte Carlo method to the study of compositional heterogeneity of the product of copolymerization

2020 ◽  
Vol 1479 ◽  
pp. 012073
Author(s):  
T Mikhailova ◽  
S Mustafina ◽  
V Mikhailov ◽  
S Podvalnyi
Keyword(s):  
Computer Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Compositional Heterogeneity ◽  
The Monte Carlo Method

A Monte Carlo Method for Simulating Drying Temperature of the Gas-Sensing Material Based on Polyacrylonitrile

2015 ◽  
Vol 727-728 ◽  
pp. 145-149 ◽  
Author(s):  
Tatiana Semenistaya ◽  
Nina K. Plugotarenko ◽  
Viktor Petrov
Keyword(s):  
Computer Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Quantum Chemical ◽  
Chemical Method ◽  
Gas Sensing ◽  
Quantum Chemical Method ◽  
Ir Radiation ◽  
Sensing Material ◽  
The Monte Carlo Method

The calculations of the dimer, trimer and tetramer molecules of polyacrylonitrile (PAN) using the quantum-chemical method are carried out. The computer simulation of formation of a polymer PAN chain by the Monte-Carlo method taken with the Metropolis and Wang-Landau algorithm is done. Technology of fabrication of gas-sensing material based on metal-containing PAN is developed. Electroconductive metal-containing PAN films are fabricated by method of pyrolysis under the influence of incoherent IR-radiation. Their sensing properties are studied.

Computer simulation of the Potts model with the number of spin states q = 4 on a triangular lattice

2020 ◽  
pp. 57-64
Author(s):  
Magomedsheikh Ramazanov ◽  
Akai Murtazaev
Keyword(s):  
Computer Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Thermodynamic Properties ◽  
Potts Model ◽  
Triangular Lattice ◽  
Nearest Neighbors ◽  
Spin States ◽  
Two Dimensional ◽  
The Monte Carlo Method

Based on the Wang-Landau algorithm, the Monte Carlo method is used to study the thermodynamic properties of the two-dimensional Potts model with the number of spin states $q=4$ on a triangular lattice, taking into account the interactions of the first and second nearest neighbors. It is shown that taking into account antiferromagnetic interactions of the second nearest neighbors leads to frustration.

scholarly journals Prediction of Wave Energy Transformation Capability in Isolated Islands by Using the Monte Carlo Method

2021 ◽  
Vol 9 (9) ◽  
pp. 980
Author(s):  
Deivis Avila ◽  
Graciliano Nicolás Marichal ◽  
Ramón Quiza ◽  
Felipe San Luis
Keyword(s):  
Computer Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulation Model ◽  
Computer Simulation Model ◽  
Energy Transformation ◽  
Energy Converter ◽  
Gran Canaria ◽  
The Monte Carlo Method ◽  
The Waves

In this work, a mathematical computer simulation model is used to predict the possible energy generated from different Waves Energy Converters (WECs) in the Canary Islands. The Monte Carlo Method is the computer simulation model proposed to predict the generated energy. The Waves Energy Converter systems analyzed in the study were, the Aqua Buoy, Wave Dragon and Pelamis converters. The models were implemented and validated, with the dataset of Gran Canaria deep water buoy. This buoy belongs to a network of buoys belonging to Spain’s State Ports and they cover a dataset period of 22 years. The research has concluded that it is possible to affirm that the achieved model is a strong tool to compute the possible energy of any WECs, when the power matrix is known. The model based on the Monte Carlo simulation can be used in isolated islands of the Atlantic Ocean and can be extrapolated to other regions with the same characteristics.

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