可电离聚合物形成的关联网络中从分子约束到宏观动力学:中子自旋回波和分子动力学模拟研究

IF 4.7 Q1 POLYMER SCIENCE
Chathurika Kosgallana, Sidath Wijesinghe, Manjula Senanayake, Supun S. Mohottalalage, Michael Ohl, Piotr Zolnierczuk, Gary S. Grest* and Dvora Perahia*, 
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引用次数: 0

摘要

可电离聚合物的关联会对其在溶液中的运动产生强烈影响,可电离基团聚集产生的约束会改变宏观动力学。在多种长度和时间尺度上的运动之间的相互关系是包括物理网络、凝胶和聚合物-纳米粒子复合物在内的多种复杂流体的基础,在这些流体中,长期存在的关联控制着它们的结构和动力学。本研究利用中子自旋回波和完全原子化的百万原子分子动力学(MD)模拟,在与链段运动相当的时间内,解析了磺化分数为 0 ≤ f ≤ 0.09 的磺化聚苯乙烯溶液所形成的网络在时间和长度尺度上的动力学。我们测量了实验动态结构因子,并将其与 MD 模拟计算得出的计算动态结构因子进行了比较,还根据两个指数函数之和进行了分析,从而得出了两个不同的时间尺度。这些时间常数捕捉到了网络的封闭运动和高溶解段的快速动态。聚合物动力学与离子簇的大小和分布之间建立了独特的关系,并与参与每个簇的聚合物链数量相关联。通过中子自旋回波从倒易空间获得的理解与通过大规模 MD 研究从真实空间获得的理解相结合,实现了关联复杂流体中动态在时间和长度尺度上的相关性,从而解决了一个长期存在的基本挑战,即强调软材料的行为并影响其潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

The association of ionizable polymers strongly affects their motion in solutions, where the constraints arising from clustering of the ionizable groups alter the macroscopic dynamics. The interrelation between the motion on multiple length and time scales is fundamental to a broad range of complex fluids including physical networks, gels, and polymer–nanoparticle complexes where long-lived associations control their structure and dynamics. Using neutron spin echo and fully atomistic, multimillion atom molecular dynamics (MD) simulations carried out to times comparable to that of chain segmental motion, the current study resolves the dynamics of networks formed by suflonated polystryene solutions for sulfonation fractions 0 ≤ f ≤ 0.09 across time and length scales. The experimental dynamic structure factors were measured and compared with computational ones, calculated from MD simulations, and analyzed in terms of a sum of two exponential functions, providing two distinctive time scales. These time constants capture confined motion of the network and fast dynamics of the highly solvated segments. A unique relationship between the polymer dynamics and the size and distribution of the ionic clusters was established and correlated with the number of polymer chains that participate in each cluster. The correlation of dynamics in associative complex fluids across time and length scales, enabled by combining the understanding attained from reciprocal space through neutron spin echo and real space, through large scale MD studies, addresses a fundamental long-standing challenge that underline the behavior of soft materials and affect their potential uses.

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