Katyal Divya, Kant Rama
Complex Systems Group, Department of Chemistry, University of Delhi, Delhi 110007, India.
Phys Rev E. 2016 Dec;94(6-1):062503. doi: 10.1103/PhysRevE.94.062503. Epub 2016 Dec 27.
We analyze the dynamics of comb-of-comb-network polymers in the presence of external random flows. The dynamics of such structures is evaluated through relevant physical quantities, viz., average square displacement (ASD) and the velocity autocorrelation function (VACF). We focus on comparing the dynamics of the comb-of-comb network with the linear polymer. The present work displays an anomalous diffusive behavior of this flexible network in the random layered flows. The effect of the polymer topology on the dynamics is analyzed by varying the number of generations and branch lengths in these networks. In addition, we investigate the influence of external flow on the dynamics by varying flow parameters, like the flow exponent α and flow strength W_{α}. Our analysis highlights two anomalous power-law regimes, viz., subdiffusive (intermediate-time polymer stretching and flow-induced diffusion) and superdiffusive (long-time flow-induced diffusion). The anomalous long-time dynamics is governed by the temporal exponent ν of ASD, viz., ν=2-α/2. Compared to a linear polymer, the comb-of-comb network shows a shorter crossover time (from the subdiffusive to superdiffusive regime) but a reduced magnitude of ASD. Our theory displays an anomalous VACF in the random layered flows that scales as t^{-α/2}. We show that the network with greater total mass moves faster.
我们分析了在外部随机流存在下梳状网络聚合物的动力学。通过相关物理量,即平均平方位移(ASD)和速度自相关函数(VACF)来评估此类结构的动力学。我们着重比较梳状网络与线性聚合物的动力学。当前工作展示了这种柔性网络在随机分层流中的反常扩散行为。通过改变这些网络中的代数和支链长度来分析聚合物拓扑结构对动力学的影响。此外,我们通过改变流动参数,如流动指数α和流动强度Wα,来研究外部流动对动力学的影响。我们的分析突出了两种反常幂律 regime,即亚扩散(中间时间聚合物拉伸和流动诱导扩散)和超扩散(长时间流动诱导扩散)。反常的长时间动力学由ASD的时间指数ν控制,即ν = 2 - α/2。与线性聚合物相比,梳状网络显示出更短的交叉时间(从亚扩散到超扩散 regime),但ASD的幅度减小。我们的理论展示了随机分层流中反常的VACF,其标度为t^(-α/2)。我们表明总质量更大的网络移动得更快。