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Combined length scales in dissipative particle dynamics

机译:耗散粒子动力学中的组合长度尺度

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When a particle model simulates fluid behavior,the calculation of all particle interactions causes long computation times.Especially in mesoscale simulations,the bulk areas can be computationally demanding.To reduce the time spent on such regions,we propose a model that combines different length scales in one system.This is a particle analog to mesh refinement in,for instance,finite-element methods.To this end,we define particles of a coarse-grained scale within the framework of dissipative particle dynamics.These particles have a lower number density,but the same mass density,pressure,temperature,and viscosity as the original description.Furthermore,the coarse-grained particles can directly interact with the "normal" particles.The two length scales are combined in one system,coupled by an overlap region.At the edges of this region,particles transform into the other scale,through local refining or coarse graining.The resulting combined system adequately reproduces the properties and flow behavior of a normal system.When half the system is coarse grained,the computation time reduces by a factor of two.Thus,computational efficiency can be greatly increased for a variety of mesoscale applications.
机译:当粒子模型模拟流体行为时,所有粒子相互作用的计算会导致计算时间长。特别是在中尺度模拟中,可能需要大量体积的计算。为了减少在这些区域上花费的时间,我们提出了一个组合不同长度尺度的模型在一个系统中。这是例如有限元方法中类似于网格细化的粒子。为此,我们在耗散粒子动力学的框架内定义了粗粒度标度的粒子。这些粒子具有较低的数密度,但质量密度,压力,温度和粘度与原始描述相同。此外,粗粒颗粒可以与“正常”颗粒直接相互作用。两个长度尺度在一个系统中组合在一起,并由一个重叠区域耦合在该区域的边缘,通过局部精炼或粗粒化,颗粒转变为其他尺度。所得的组合系统充分再现了特性和流动性。当系统的一半为粗粒度时,计算时间减少了两倍。因此,对于各种中规模应用,计算效率可以大大提高。

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