Open AccessResarch of Monte-Carlo Simulation in Grain Growth
Author(s) -
Zijie Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2133/1/012014
Subject(s) - monte carlo method , statistical physics , dynamic monte carlo method , monte carlo molecular modeling , monte carlo method in statistical physics , grain growth , field (mathematics) , kinetic monte carlo , hybrid monte carlo , computer science , physics , microstructure , materials science , mathematics , markov chain monte carlo , statistics , pure mathematics , metallurgy
This paper is produced after writing code for doing Monte Carlo simulations of a single type and use the model to study the self-assembly of co-polymers confined to a surface. A great interest has been aroused in the field of Monte Carlo simulation in material science since then. The Monte Carlo algorithm for single-phase normal grain growth is realized which can simulate and observe the current development of the microstructure of large grains in three dimensions. And this study will go through both two- and three-dimension Monte Carlo simulation in grain growth with a brief introduction of the methodology about this. At last, an enormous potential of the Monte Carlo simulation could be spotted in material field and the future material analysis will rely more on computational science due to the powerful computing power.