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Polymer length distributions for catalytic polymerization within mesoporous materials: Non-Markovian behavior associated with partial extrusion

机译:介孔材料内催化聚合的聚合物长度分布:与部分挤出相关的非马尔可夫行为

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摘要

We analyze a model for polymerization at catalytic sites distributed within parallel linear pores of a mesoporous material. Polymerization occurs primarily by reaction of monomers diffusing into the pores with the ends of polymers near the pore openings. Monomers and polymers undergo single-file diffusion within the pores. Model behavior, including the polymer length distribution, is determined by kinetic Monte Carlo simulation of a suitable atomistic-level lattice model. While the polymers remain within the pore, their length distribution during growth can be described qualitatively by a Markovian rate equation treatment. However, once they become partially extruded, the distribution is shown to exhibit non-Markovian scaling behavior. This feature is attributed to the long-tail in the “return-time distribution” for the protruding end of the partially extruded polymer to return to the pore, such return being necessary for further reaction and growth. The detailed form of the scaled length distribution is elucidated by application of continuous-time random walk theory.
机译:我们分析了在介孔材料的平行线性孔内分布的催化位点处的聚合模型。聚合主要通过扩散到孔中的单体与靠近孔开口的聚合物末端的反应发生。单体和聚合物在孔内经历单线扩散。通过适当的原子级晶格模型的动力学蒙特卡洛模拟确定模型行为,包括聚合物长度分布。当聚合物保留在孔中时,可以通过马尔可夫速率方程处理定性地描述其在生长过程中的长度分布。但是,一旦它们被部分挤压,该分布将显示出非马尔可夫尺度变化行为。该特征归因于“返回时间分布”中的长尾,部分挤出的聚合物的突出端返回到孔中,这种返回对于进一步的反应和生长是必需的。通过应用连续时间随机游走理论,阐明了定标长度分布的详细形式。

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