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Dissipative particle dynamics simulations of electroosmotic flow in nano-fluidic devices

机译:纳米流体装置中电渗流的耗散粒子动力学模拟

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摘要

When modeling the hydrodynamics of nano-fluidic systems, it is often essential to include molecular-level information such as molecular fluctuations. To this effect, we present a mesoscopic approach which combines a fluctuating hydrodynamics formulation with an efficient implementation of Electroosmotic flow (EOF) in the small Debye length limit. The resulting approach, whose major ingredient is Dissipative Particle Dynamics, is sufficiently coarse-grained to allow efficient simulation of the hydrodynamics of microanofluidic devices of sizes that are too large to be simulated by ab initio methods such as Molecular Dynamics. Within our formulation, EOF is efficiently generated using the recently proven similitude between velocity and electric field under appropriate conditions. More specifically, EOF is generated using an effective boundary condition, akin to a moving wall, thus avoiding evaluation of the computationally expensive electrostatic forces. Our method is used for simulating EOFs and DNA molecular sieving in simple and complex two-dimensional (2D) and 3D geometries frequently used in nano-fluidic devices. The numerical data obtained from our model are in very good agreement with theoretical results.
机译:在对纳米流体系统的流体动力学建模时,通常必须包括分子水平信息,例如分子涨落。为此,我们提出了一种介观方法,该方法将波动的水动力公式与在小的Debye长度限制内有效实现电渗流(EOF)相结合。所产生的方法的主要成分是“耗散粒子动力学”,其​​粒度足够粗,可以有效地模拟尺寸过大而无法通过分子生物学等从头算方法进行模拟的微/纳米流体装置的流体动力学。在我们的公式中,利用最近证明的在适当条件下的速度和电场之间的相似性,可以有效地生成EOF。更具体地说,EOF是使用类似于移动墙的有效边界条件生成的,因此避免了计算上昂贵的静电力的评估。我们的方法用于模拟纳米流体设备中常用的简单和复杂的二维(2D)和3D几何形状中的EOF和DNA分子筛分。从我们的模型获得的数值数据与理论结果非常吻合。

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