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Simulation of diffusion motion of ionomers using Monte Carlo algorithm

机译:蒙特卡罗算法仿真离聚物扩散运动

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摘要

We present a simple model of ionomers, namely a single polymer chain in a series of fixed attractors. In analogy to ionized bead's claws of surrounding chains, the set of attractors can affectively slow down the diffusion motion of the target chain. The monomer mean-square displacement of ionomers is studied by using Monte Carlo algorithm, and compared with the prediction of the sticky Rouse model. The diffusion motion properties of ionomers are explored in three aspects, including the chain length of the polymer, the depth of the potential well and the number of ionic groups. The results show that a plateau appears in the monomer diffusion function due to the attraction of the attractors to the claws. However, comparative theoretical predictions and simulation results show that there exists some discrepancy between them. Therefore, the relaxation time distribution of polymer chain motion is explored. The simulation results confirm that the association lifetime is decreasing exponentially, and the expected values of the association lifetime satisfy the Boltzmann distribution as shown by the results. These results perfectly explain the deviation between the simulation data and the theoretical results.
机译:我们提出了一种简单的离聚物模型,即一系列固定吸引子中的单个聚合物链。与围绕链条的离子珠爪类似,该组吸引物可以减慢靶链的扩散运动。通过使用Monte Carlo算法研究离聚物的单体平均方形位移,并与粘性rouse模型的预测相比。离聚物的扩散运动特性在三个方面探讨,包括聚合物的链长,势孔的深度和离子基团的数量。结果表明,由于爪子的吸引物的吸引力,高原出现在单体扩散功能中。然而,比较理论预测和仿真结果表明它们之间存在一些差异。因此,探索了聚合物链运动的弛豫时间分布。仿真结果证实,关联寿命是指数增长的降低,并且关联寿命的预期值满足了结果所示的Boltzmann分布。这些结果完美地解释了模拟数据与理论结果之间的偏差。

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