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序列分散性对锥形二嵌段共聚物形态的影响:分子动力学模拟研究

Effect of sequence dispersity on morphology of tapered diblock copolymers from molecular dynamics simulations.

作者信息

Levine William G, Seo Youngmi, Brown Jonathan R, Hall Lisa M

机构信息

William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 W. Woodruff Ave., Columbus, Ohio 43210, USA.

出版信息

J Chem Phys. 2016 Dec 21;145(23):234907. doi: 10.1063/1.4972141.

Abstract

Tapered diblock copolymers are similar to typical AB diblock copolymers but have an added transition region between the two blocks which changes gradually in composition from pure A to pure B. This tapered region can be varied from 0% (true diblock) to 100% (gradient copolymer) of the polymer length, and this allows some control over the microphase separated domain spacing and other material properties. We perform molecular dynamics simulations of linearly tapered block copolymers with tapers of various lengths, initialized from fluids density functional theory predictions. To investigate the effect of sequence dispersity, we compare systems composed of identical polymers, whose taper has a fixed sequence that most closely approximates a linear gradient, with sequentially disperse polymers, whose sequences are created statistically to yield the appropriate ensemble average linear gradient. Especially at high segregation strength, we find clear differences in polymer conformations and microstructures between these systems. Importantly, the statistical polymers are able to find more favorable conformations given their sequence, for instance, a statistical polymer with a larger fraction of A than the median will tend towards the A lamellae. The conformations of the statistically different polymers can thus be less stretched, and these systems have higher overall density. Consequently, the lamellae formed by statistical polymers have smaller domain spacing with sharper interfaces.

摘要

渐变二嵌段共聚物与典型的AB二嵌段共聚物相似,但在两个嵌段之间有一个额外的过渡区域,其组成从纯A到纯B逐渐变化。这个渐变区域可以在聚合物长度的0%(真正的二嵌段)到100%(梯度共聚物)之间变化,这使得可以对微相分离的畴间距和其他材料性能进行一定程度的控制。我们从流体密度泛函理论预测出发,对具有不同长度渐变的线性渐变嵌段共聚物进行分子动力学模拟。为了研究序列分散性的影响,我们将由相同聚合物组成的体系与序列随机分布的聚合物体系进行比较,前者的渐变具有最接近线性梯度的固定序列,后者的序列是通过统计生成的,以产生适当的系综平均线性梯度。特别是在高相分离强度下,我们发现这些体系在聚合物构象和微观结构上存在明显差异。重要的是,统计聚合物能够根据其序列找到更有利的构象,例如,A含量高于中位数的统计聚合物会倾向于形成A层状结构。因此,统计上不同的聚合物的构象可以不那么伸展,并且这些体系具有更高的整体密度。结果,由统计聚合物形成的层状结构具有更小的畴间距和更清晰的界面。

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