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Disorder-based cluster Monte Carlo algorithm and its application in simulations of magnetization processes

机译:基于混乱的簇蒙特卡罗算法及其在磁化过程中的应用

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摘要

The paper presents a modification of the so-called adding probability used in the Monte Carlo cluster algorithms. Certainly, the probability formula was supplemented by an entropy factor, depending on the local disorder of some selected properties of the studied system. The idea bases on the fact that disorder of some physical properties may affect clusterization of the system. The proposed modification enhances effectiveness of the simulations that is especially important in analysis of magnetization processes of irregular multiphase systems. In order to prove correctness of our approach a set of reverse magnetization curves was simulated for the systems composed of magnetically hard and soft phases. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文介绍了Monte Carlo Cluster算法中使用的所谓添加概率的修改。 当然,取决于所研究系统的一些选定性质的局部疾病,补充了概率配方。 关于某些物理性质的疾病可能影响系统的集群化的事实。 所提出的修改增强了在不规则多相体系的磁化过程分析中特别重要的模拟的有效性。 为了证明我们的方法,模拟了一组反向磁化曲线,用于由磁力和软相组成的系统。 (c)2018 Elsevier B.v.保留所有权利。

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