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首页> 外文期刊>Physical review, E. Statistical physics, plasmas, fluids, and related interdisciplinary topics >Irreversible diffusion-limited cluster aggregation: The behavior of the scattered intensity
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Irreversible diffusion-limited cluster aggregation: The behavior of the scattered intensity

机译:不可逆扩散限制的团簇聚集:散射强度的行为

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In this paper, we discuss the evolution of the scattered intensity I(q) during irreversible diffusion-limited cluster-cluster aggregation. We propose a mean field model to describe the correlation among different clusters that develops during the irreversible aggregation process. The model is based on two coupled differential equations, controlling the growth of the average cluster mass and the time dependence of the probability of finding pairs of clusters as a function of their distance. The model predicts a moving and growing peak in the scattered intensity at a wave vector qm. For growing compact clusters, as in the case of late-stage decomposition under deep-quench conditions, we recover the expected results both for the scaling law of the scattered intensity, i.e., qdmI(q/qm)=f(q/qm), and for the growth of the average cluster mass. For growing clusters with fractal dimension Df, the model predicts no scaling for I(q), particularly in the initial stage of the aggregation. Only in the late stages, an approximate scaling of the scattered intensity in qDmfI(q/qm) holds. We compare the prediction of the model with the recent experimental results of Carpineti and Giglio [Phys. Rev. Lett. 68, 3327 (1992)] on colloidal aggregation and with data from Brownian dynamics simulations. The agreement between analytical and experimental results is excellent.
机译:在本文中,我们讨论了不可逆扩散受限簇-簇聚集过程中散射强度I(q)的演变。我们提出了一种均值场模型来描述在不可逆聚集过程中形成的不同簇之间的相关性。该模型基于两个耦合的微分方程,控制平均簇质量的增长以及发现簇对的概率随时间的变化的时间依赖性。该模型预测了在波矢qm处散射强度的移动和增长峰值。对于正在生长的紧致簇,如在深淬火条件下的后期分解情况,我们都获得了散射强度的定律的预期结果,即qdmI(q / qm)= f(q / qm) ,以及平均簇质量的增长。对于具有分形维数Df的成长集群,该模型预测I(q)没有缩放,尤其是在聚合的初始阶段。仅在后期阶段,qDmfI(q / qm)中的散射强度才近似定标。我们将模型的预测与Carpineti和Giglio的最新实验结果进行了比较[Phys。牧师68,3327(1992)]关于胶体聚集和来自布朗动力学模拟的数据。分析结果和实验结果之间的一致性非常好。

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