Li Bing, Daoulas Kostas, Schmid Friederike
Institut für Physik, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany.
Max-Planck Institut für Polymerforschung, Ackermannweg 10, 55128 Mainz, Germany.
J Phys Condens Matter. 2021 Apr 26;33(19). doi: 10.1088/1361-648X/abed1b.
We propose a dynamic coarse-graining (CG) scheme for mapping heterogeneous polymer fluids onto extremely CG models in a dynamically consistent manner. The idea is to use as target function for the mapping a wave-vector dependent mobility function derived from the single-chain dynamic structure factor, which is calculated in the microscopic reference system. In previous work, we have shown that dynamic density functional calculations based on this mobility function can accurately reproduce the order/disorder kinetics in polymer melts, thus it is a suitable starting point for dynamic mapping. To enable the mapping over a range of relevant wave vectors, we propose to modify the CG dynamics by introducing internal friction parameters that slow down the CG monomer dynamics on local scales, without affecting the static equilibrium structure of the system. We illustrate and discuss the method using the example of infinitely long linear Rouse polymers mapped onto ultrashort CG chains. We show that our method can be used to construct dynamically consistent CG models for homopolymers with CG chain length= 4, whereas for copolymers, longer CG chain lengths are necessary.
我们提出了一种动态粗粒化(CG)方案,用于以动态一致的方式将非均相聚合物流体映射到极粗粒化模型上。其思路是将从单链动态结构因子导出的与波矢相关的迁移率函数用作映射的目标函数,该动态结构因子是在微观参考系中计算得到的。在先前的工作中,我们已经表明基于此迁移率函数的动态密度泛函计算能够准确再现聚合物熔体中的有序/无序动力学,因此它是动态映射的合适起点。为了能够在一系列相关波矢上进行映射,我们建议通过引入内摩擦参数来修改CG动力学,这些参数会在局部尺度上减缓CG单体动力学,而不影响系统的静态平衡结构。我们以映射到超短CG链上的无限长线性Rouse聚合物为例来说明和讨论该方法。我们表明,我们的方法可用于构建CG链长 = 4的均聚物的动态一致CG模型,而对于共聚物,则需要更长的CG链长。