具有守恒动力学的长程Ising模型的粗化

IF 1.7 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER
Subir K. Das, Soumik Ghosh
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引用次数: 0

摘要

虽然域生长动力学,即使是保守的序参数动力学,在短程粒子间相互作用中得到了广泛的研究,但具有远程相互作用的系统直到最近才受到关注。在这里,我们从二维远程Ising模型的蒙特卡罗(MC)研究中获得了这种动力学的结果,重点是上下自旋的临界组成。通过引入川崎自旋交换方法,使MC模拟中的序参量保持不变。通过类似于平衡临界现象的有限尺寸缩放技术和其他先进方法,分析了均匀系统在低于临界值\(T_c\)的温度下淬火后畴生长的模拟结果。结果表明,增长遵循幂律,指数与相互作用的范围有有趣的依赖关系。非常有趣的是,在演化过程中,当范围高于临界值时,对于任何给定范围,指数似乎都会从一个较大的值变为一个较小的值。虽然后期的相应值与守恒序参数动力学的某些理论预测相匹配,但早期的值却惊人地高,通常甚至非常接近非守恒情况的理论值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coarsening in the long-range Ising model with conserved dynamics

While the kinetics of domain growth, even for conserved order-parameter dynamics, is widely studied for short-range inter-particle interactions, systems having long-range interactions are receiving attention only recently. Here, we present results, for such dynamics, from a Monte Carlo (MC) study of the two-dimensional long-range Ising model, with focus on critical compositions of up and down spins. The order parameter in the MC simulations was conserved via the incorporation of the Kawasaki spin-exchange method. The simulation results for domain growth, following quenches of the homogeneous systems to temperatures below the critical values \(T_c\), were analyzed via a method analogous to the finite-size scaling technique of equilibrium critical phenomena and other advanced methods. The outcomes reveal that the growths follow power laws, with the exponent having interesting dependence on the range of interaction. Quite interestingly, when the range is above a cut-off, the exponent, for any given range, seems to change from a larger value to a smaller one, during the evolution process. While the corresponding values at late times match with certain theoretical predictions for the conserved order-parameter dynamics, the ones at the early times appear surprisingly high, often quite close to even the theoretical values for the nonconserved case.

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来源期刊
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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