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An improved Monte Carlo algorithm for phase separation simulation alloys

机译:改进的Monte Carlo算法用于相分离模拟合金

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Monte Carlo (MC) simulation of phase transitions in condensed matter has been of special interest in the last decade [1-4]. Computational experiments are significant because they can yield exact information on mode systems which are precisely characterized. In contrast, analytic theory can provide the information only in rather rare cases and precise characterization of an experimental system is almost impossible. But the MC simulation of even quite a simple system always requires a lot of CPU time, so it has been a key problem to devise a time-saving algorithm for practical simulations, taking account of programming skills. Many excellent introductory and review articles have already been published on this problem [1, 3, 5-8]. Here I confine myself to MC simulation of the general dynamics of phase separation in alloys. As an example, I discuss MC models for phase separation of a bindary alloy in a two-dimensional lattice.
机译:在过去的十年中[1-4],凝聚态相变的蒙特卡罗(MC)模拟引起了人们的特别关注。计算实验非常重要,因为它们可以在精确表征的模式系统上产生准确的信息。相反,分析理论只能在极少数情况下提供信息,并且几乎不可能对实验系统进行精确表征。但是,即使是一个非常简单的系统,MC仿真也总是需要大量的CPU时间,因此,考虑到编程技巧,为实际仿真设计一种节省时间的算法已成为一个关键问题。关于此问题的许多出色的介绍性和综述性文章已经发表[1、3、5-8]。在这里,我将自己局限于合金相分离一般动力学的MC模拟。例如,我讨论了用于二维晶格中结合合金相分离的MC模型。

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