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高效反应布朗动力学。

Efficient reactive Brownian dynamics.

机构信息

Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA.

Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.

出版信息

J Chem Phys. 2018 Jan 21;148(3):034103. doi: 10.1063/1.5009464.

Abstract

We develop a Split Reactive Brownian Dynamics (SRBD) algorithm for particle simulations of reaction-diffusion systems based on the Doi or volume reactivity model, in which pairs of particles react with a specified Poisson rate if they are closer than a chosen reactive distance. In our Doi model, we ensure that the microscopic reaction rules for various association and dissociation reactions are consistent with detailed balance (time reversibility) at thermodynamic equilibrium. The SRBD algorithm uses Strang splitting in time to separate reaction and diffusion and solves both the diffusion-only and reaction-only subproblems exactly, even at high packing densities. To efficiently process reactions without uncontrolled approximations, SRBD employs an event-driven algorithm that processes reactions in a time-ordered sequence over the duration of the time step. A grid of cells with size larger than all of the reactive distances is used to schedule and process the reactions, but unlike traditional grid-based methods such as reaction-diffusion master equation algorithms, the results of SRBD are statistically independent of the size of the grid used to accelerate the processing of reactions. We use the SRBD algorithm to compute the effective macroscopic reaction rate for both reaction-limited and diffusion-limited irreversible association in three dimensions and compare to existing theoretical predictions at low and moderate densities. We also study long-time tails in the time correlation functions for reversible association at thermodynamic equilibrium and compare to recent theoretical predictions. Finally, we compare different particle and continuum methods on a model exhibiting a Turing-like instability and pattern formation. Our studies reinforce the common finding that microscopic mechanisms and correlations matter for diffusion-limited systems, making continuum and even mesoscopic modeling of such systems difficult or impossible. We also find that for models in which particles diffuse off lattice, such as the Doi model, reactions lead to a spurious enhancement of the effective diffusion coefficients.

摘要

我们开发了一种基于 Doi 或体积反应性模型的分裂反应布朗动力学 (SRBD) 算法,用于基于粒子的反应扩散系统模拟,其中如果两个粒子之间的距离小于选定的反应距离,则它们以指定的泊松率进行反应。在我们的 Doi 模型中,我们确保各种缔合和解离反应的微观反应规则与热力学平衡时的详细平衡(时间可逆性)一致。SRBD 算法使用时间上的 Strang 分裂将反应和扩散分开,并精确求解扩散子问题和反应子问题,即使在高堆积密度下也是如此。为了在不使用不受控制的近似的情况下有效地处理反应,SRBD 使用事件驱动算法,按照时间顺序处理反应,时间步长的持续时间。使用比所有反应距离都大的大小的网格单元来安排和处理反应,但与传统的基于网格的方法(如反应扩散主方程算法)不同,SRBD 的结果与用于加速反应处理的网格的大小无关。我们使用 SRBD 算法计算了三维中受限反应和扩散受限不可逆缔合的有效宏观反应速率,并与低和中等密度下的现有理论预测进行了比较。我们还研究了热力学平衡下可逆缔合的时间相关函数的长时间尾部,并与最近的理论预测进行了比较。最后,我们在表现出类似于 Turing 的不稳定性和图案形成的模型上比较了不同的粒子和连续体方法。我们的研究强化了这样一种常见的发现,即微观机制和相关性对扩散受限系统很重要,使得连续体甚至介观建模变得困难或不可能。我们还发现,对于像 Doi 模型这样的粒子从晶格上扩散的模型,反应会导致有效扩散系数的虚假增强。

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