Zhou Tong, Chen Shing Bor
Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore.
J Chem Phys. 2005 Mar 22;122(12):124905. doi: 10.1063/1.1869952.
Brownian dynamics simulations with hydrodynamic interactions are conducted to investigate the self-diffusion of charged tracer particles in a dilute solution of charged polymers, which are modeled by bead-spring chains. The Debye-Hückel approximation is used for the electrostatic interactions. The hydrodynamic interactions are implemented by the Ewald summation of the Rotne-Prager tensor. Our simulations find that the difference in short- and long-time diffusivities is very slight in uncharged short-chain solutions. For charged systems, to the contrary, the difference becomes considerable. The short-time diffusivity is found to increase with increasing chain length, while an opposite behavior is obtained for the long-time diffusivity. The former is attributed to the hydrodynamic screening among beads in a same chain due to the bead connectivity. The latter is explained by the memory effect arising from the electrostatic repulsion and chain length. The incorporation of hydrodynamic interactions improves the agreement between the simulation prediction and the experimental result.
进行了包含流体动力学相互作用的布朗动力学模拟,以研究带电示踪粒子在由珠链弹簧模型模拟的带电聚合物稀溶液中的自扩散。静电相互作用采用德拜 - 休克尔近似。流体动力学相互作用通过对旋转 - 普拉格张量进行埃瓦尔德求和来实现。我们的模拟发现,在不带电的短链溶液中,短时间和长时间扩散率的差异非常小。相反,对于带电系统,这种差异变得相当大。发现短时间扩散率随链长增加而增加,而长时间扩散率则呈现相反的行为。前者归因于由于珠子连接性导致的同一链中珠子之间的流体动力学屏蔽。后者则由静电排斥和链长产生的记忆效应来解释。流体动力学相互作用的纳入改善了模拟预测与实验结果之间的一致性。