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Step polymerization in various solvent conditions. A computer simulation approach using quot;Patchy Brownian Cluster Dynamicsquot;.

机译:在各种溶剂条件下的步骤聚合。使用“patchy Brownian Cluster Dynamics”的计算机模拟方法。

摘要

I will present a novel simulation technique derived from Brownian cluster dynamics used so far to study the isotropic colloidal aggregation [1]. It now implements irreversible patchy interactions between particles [2]. This technique gives access to static properties, dynamics and kinetics of the system, even far from the equilibrium. Particle thermal motions are modeled using billions of independent small random translations and rotations, constrained by the excluded volume and the connectivity. This algorithm, applied to a single polymer chain leads to correct static and dynamic properties, in the framework where hydrodynamic interactions are ignored.By varying patch angles, various local chain flexibilities can be obtained. We have used this new algorithm to model step-growth polymerization under various solvent qualities. The polymerization reaction is modeled by an irreversible aggregation between patches while an isotropic finite squarewell potential is superimposed to mimic the solvent quality. In bad solvent conditions, a competition between a phase separation (due to the isotropic interaction) and polymerization (due to patches) occurs. Surprisingly, an arrested network with a very peculiar structure appears. It is made of strands and nodes. Strands gather few stretched chains that dip into entangled globular nodes. These nodes act as reticulation points between the strands. The system is kinetically driven and we observe a trapped arrested structure. That demonstrates one of the strengths of this new simulation technique. It can give valuable insights about mechanisms that could be involved in the formation of stranded gels.[1] Babu, S., Gimel, J.-C., and Nicolai, T., Phase separation and percolation of reversibly aggregating spheres with a square-well attraction potential. Journal of Chemical Physics, 2006. 125(19): p. 184512.[2] Prabhu, A., Babu, S.B., Dolado, J.S., and Gimel, J.-C., Brownian cluster dynamics with short range patchy interactions: Its application to polymers and step-growth polymerization. Journal of Chemical Physics, 2014. 141(2): p. 024904.
机译:我将提出一种新的模拟技术,该技术源自布朗群动力学,到目前为止已用于研究各向同性胶体聚集[1]。现在,它实现了粒子之间不可逆的斑驳相互作用[2]。这项技术可以访问系统的静态特性,动力学和动力学,甚至远离平衡。粒子热运动使用数十亿个独立的小随机平移和旋转进行建模,并受排除的体积和连通性的限制。在忽略水动力相互作用的框架中,将这种算法应用于单个聚合物链可导致正确的静态和动态特性。通过改变贴片角度,可以获得各种局部链柔性。我们已经使用这种新算法来模拟各种溶剂质量下的逐步增长聚合。聚合反应通过贴片之间不可逆的聚集进行建模,同时各向同性的有限方阱电势叠加以模拟溶剂质量。在不良的溶剂条件下,会发生相分离(由于各向同性的相互作用)和聚合(由于斑块)之间的竞争。出人意料的是,出现了一个结构异常的被捕网络。它是由线和节点组成的。钢绞线聚集了一些伸入缠结的球状结点的拉伸链。这些节点充当线束之间的网状点。该系统是动力学驱动的,我们观察到一个被捕的被捕结构。这证明了这种新仿真技术的优势之一。它可以提供有关可能参与绞合凝胶形成的机制的有价值的见解。[1] S. Babu,J.-C。Gimel和T. Nicolai,具有方阱吸引潜力的可逆聚集球体的相分离和渗滤。化学物理学报,2006. 125(19):p。 184512. [2] Prabhu,A.,Babu,S.B.,Dolado,J.S.和Gimel,J.-C.,具有短距离斑状相互作用的布朗簇动力学:它在聚合物和逐步增长聚合中的应用。化学物理学报,2014. 141(2):p。 024904。

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