Institute Theory of Polymers, Leibniz Institute of Polymer Research Dresden, Hohe Strasse 6, D-01069 Dresden, Germany.
J Chem Phys. 2022 Jul 28;157(4):044902. doi: 10.1063/5.0098263.
The chain walking (CW) polymerization technique has the unique property of a movable catalyst synthesizing its own path by creating branch-on-branch structures. By successive attachment of monomers, the resulting architecture ranges from dendritic to linear growth depending on the walking rate, which is defined by the ratio of walking steps and reaction events of the catalyst. The transition regime is characterized by local dendritic sub-structures (dendritic blobs) and a global linear chain feature forming a dendritic bottle-brush. A scaling model for structures obtained by CW catalysis is presented and validated by computer simulation relating the extensions of CW structures to the catalyst's walking ability. The limiting case of linear (low walking rate) and dendritic growth (high walking rate) is recovered, and the latter is shown to bear analogies to the Barabási-Albert graph and Bernoulli growth random walk. We could quantify the size of the dendritic blob as a function of the walking rate by using spectral properties of the connectivity matrix of the simulated macromolecules. This allows us to fit the numerical constants in the scaling approach. We predict that independent of the underlying chemical process, all CW polymerization syntheses involving a highly mobile catalyst ultimately result in bottle-brush structures whose properties depend on a unique parameter: the walking rate.
链行走(CW)聚合技术具有独特的性质,即移动催化剂通过创建分支结构来合成自己的路径。通过连续连接单体,根据催化剂的行走步数与反应事件的比例定义的行走速率,所得结构从树枝状到线性生长。过渡区的特点是局部树枝状亚结构(树枝状团块)和全局线性链特征形成树枝状刷。提出了一种用于 CW 催化获得的结构的标度模型,并通过计算机模拟进行了验证,该模拟将 CW 结构的延伸与催化剂的行走能力相关联。恢复了线性(低行走速率)和树枝状生长(高行走速率)的极限情况,并且表明后者与 Barabási-Albert 图和 Bernoulli 生长随机游走具有相似性。我们可以通过模拟大分子的连通性矩阵的谱特性来量化作为行走速率函数的树枝状团块的大小。这使我们能够拟合标度方法中的数值常数。我们预测,无论基础化学过程如何,所有涉及高迁移率催化剂的 CW 聚合合成最终都会导致刷状结构,其性质取决于一个独特的参数:行走速率。