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Exact results for two-dimensional coarsening

机译:二维粗化的精确结果

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We consider the statistics of the areas enclosed by domain boundaries (‘hulls’) during the curvature-driven coarsening dynamics of a two-dimensional nonconserved scalar field from a disordered initial state. We show that the number of hulls per unit area, nh(A, t)dA, with enclosed area in the range (A,A + dA), is described, for large time t, by the scaling form nh(A, t) = 2ch/(A + λht)2, demonstrating the validity of dynamical scaling in this system. Here ch = 1/8π √ 3 is a universal constant associated with the enclosed area distribution of percolation hulls at the percolation threshold, and λh is a material parameter. The distribution of domain areas, nd(A, t), is apparently very similar to that of hull areas up to very large values of A/λht. Identical forms are obtained for coarsening from a critical initial state, but with ch replaced by ch/2. The similarity of the two distributions (of areas enclosed by hulls, and of domain areas) is accounted for by the smallness of ch. By applying a ‘mean-field’ type of approximation we obtain the form nd(A, t) 2cd[λd(t+t0)]τ2/[A+λd(t+t0)]τ, where t0 is a microscopic timescale and τ = 187/91 2.055, for a disordered initial state, and a similar result for a critical initial state but with cd → cd/2 and τ → τc = 379/187 2.027. We also find that cd = ch + O(c2 h) and λd = λh(1 + O(ch)). These predictions are checked by extensive numerical simulations and found to be in good agreement with the data.
机译:我们考虑了二维无保守标量场从无序初始状态的曲率驱动的粗化动力学过程中,由域边界(“船体”)包围的区域的统计数据。我们表明,在较大的时间t内,通过缩放形式nh(A,t)描述了单位面积nh(A,t)dA的外壳数,其中封闭区域在(A,A + dA)范围内。 )= 2ch /(A +λht)2,证明了该系统中动态缩放的有效性。 ch = 1 /8π√3是与渗滤阈值处的渗滤壳的封闭区域分布关联的通用常数,而λh是材料参数。域区域nd(A,t)的分布显然与最大A /λht很大的船体区域的分布非常相似。从临界初始状态获得了相同的形式以进行粗化,但用ch / 2替换ch。 ch的较小性说明了这两种分布的相似性(被船体包围的区域和域区域的相似性)。通过应用“平均场”类型的逼近,我们得到形式为nd(A,t)2cd [λd(t + t0)]τ2/ [A +λd(t + t0)]τ,其中t0是微观时标对于无序初始状态,τ= 187/91 2.055,对于临界初始状态,其结果相似,但cd→cd / 2和τ→τc= 379/187 2.027。我们还发现cd = ch + O(c2 h)和λd=λh(1 + O(ch))。通过大量的数值模拟检查了这些预测,发现它们与数据非常吻合。

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