A second-order maximum bound principle preserving operator splitting method for the Allen–Cahn equation with applications in multi-phase systems

艾伦-卡恩方程 最大值原理 操作员(生物学) 订单(交换) 应用数学 相(物质) 数学 算子分裂 计算机科学 数学优化 物理 最优控制 量子力学 转录因子 基因 抑制因子 经济 生物化学 化学 财务
作者
Xufeng Xiao,Xinlong Feng
出处
期刊:Mathematics and Computers in Simulation [Elsevier BV]
卷期号:202: 36-58 被引量:3
标识
DOI:10.1016/j.matcom.2022.05.024
摘要

In this paper, a highly efficient space–time operator splitting finite element method is presented to solve the two- and three-dimensional Allen-Cahn equations. The main advantage of the proposed method is that it reduces the high storage requirements and complexity of the high-dimensional computation by splitting the high-dimensional problem into a series of one-dimensional subproblems. The proposed method is space–time second-order and can be performed in parallel. Moreover, a bound preserving least-distance modification technique is developed to force the discrete maximum bound principle in solving each one-dimensional subproblem. Finally, numerical simulations including the two- and multi-phase separations, mean curvature flows and dendritic crystal growth in two and three dimensions are provided to demonstrate the validity and accuracy of the proposed method. • A highly efficient second-order space–time operator splitting method is presented to solve the two- and three-dimensional Allen-Cahn equations in parallel. • A new least-distance modification technique is developed to force the discrete maximum bound principle of the numerical solution. • The proposed numerical method is applied to simulate multi-phase separation and dendritic crystal growth in two and three dimensions.
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