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Monte Carlo simulation of the self-assembly and phase behavior of semiflexible equilibrium polymers

机译:半柔性平衡聚合物自组装和相行为的蒙特卡洛模拟

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Grand canonical Monte Carlo simulations of a simple model semiflexible equilibrium polymer system,consisting of hard sphere monomers reversibly self-assembling into chains of arbitrary length,have been performed using a novel sampling method to add or remove multiple monomers during a single MC move.Systems with two different persistence lengths and a range of bond association constants have been studied.We find first-order lyotropic phase transitions between isotropic and nematic phases near the concentrations predicted by a statistical thermodynamic theory,but with significantly narrower coexistence regions.A possible contribution to the discrepancy between theory and simulation is that the length distribution of chains in the nematic phase is bi-exponential,differing from the simple exponential distribution found in the isotropic phase and predicted from a mean-field treatment of the nematic.The additional short length-scale characterizing the distribution appears to arise from the lower orientational order of short chains.The dependence of this length-scale on chemical potential,bond association constant,and total monomer concentration has been examined.
机译:一个简单的模型半柔性平衡聚合物系统的经典正则蒙特卡罗模拟,是由硬球体单体可逆地自组装成任意长度的链组成的,已使用一种新颖的采样方法在一次MC移动过程中添加或移除了多个单体。我们研究了具有两种不同持久性长度和一系列键缔合常数的化合物。我们发现,在统计热力学理论预测的浓度附近,各向同性相和向列相之间的一维溶致相变非常明显,但共存区域明显变窄。理论与模拟之间的差异在于,向列相中链的长度分布是双指数的,这与各向同性相中发现的简单指数分布以及向列相的平均场处理所预测的不同。表征分布的尺度似乎是由于考察了该长度尺度对化学势,键缔合常数和总单体浓度的依赖性。

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