论文标题
横向推动聚合物和被动颗粒的计算研究
A computational study of a transversely propelling polymer and passive particles
论文作者
论文摘要
使用Langevin动力学模拟，我们研究了横向推动细丝和被动的布朗颗粒的系统。我们认为，在存在二维的被动颗粒的存在下，其单体具有恒定的推进力垂直于局部切线的聚合物。我们证明，侧向推进聚合物可以充当清扫剂，以收集被动的布朗颗粒，从而模仿班车货车系统。聚合物在运动过程中收集的颗粒数量随时间增加，最后饱和至最大数量。此外，由于它们产生的额外阻力，聚合物的速度会降低。当速度收集最大载荷时，速度并没有达到零，而是最终达到接近热速度贡献的端子值。我们表明，除了聚合物的长度外，推进强度和被动颗粒的数量是最大捕获颗粒的决定因素。此外，我们证明了收集的颗粒以三角形，封闭的填充状态排列，类似于在
Using Langevin dynamics simulations, we study a system of transversely propelling filament and passive Brownian particles. We consider a polymer whose monomers experience a constant propulsion force perpendicular to the local tangent in the presence of passive particles undergoing thermal fluctuations in two dimensions. We demonstrate that the sideways propelling polymer can act as a sweeper to collect the passive Brownian particles, mimicking a shuttle-cargo system. The number of particles the polymer collects during its motion increases with time and finally saturates to a maximum number. Moreover, the velocity of the polymer decreases as the particles get trapped due to the extra drag they generate. Rather than going to zero, the velocity eventually reaches a terminal value close to the contribution from the thermal velocity when it collects the maximum load. We show that, apart from the length of the polymer, the propulsion strength and the number of passive particles are deciding factors for the maximum trapped particles. In addition, we demonstrate that the collected particles arrange themselves in a triangular, closed, packed state, similar to what has been observed in
