利用高阶指数型方法高效模拟复杂的金兹堡-朗道方程

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-10 DOI:10.1016/j.apnum.2024.08.009
Marco Caliari, Fabio Cassini
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引用次数: 0

摘要

在本文中,我们考虑的任务是高效计算笛卡尔积域上具有同质 Dirichlet/Neumann 或周期性边界条件的演化复杂 Ginzburg-Landau 方程的数值解。为此,我们采用了时间步长恒定的分裂型和劳森型高阶指数方法进行时间积分。这些方案具有良好的稳定性,特别是不会因模型的基本刚度而对时间步长产生限制。利用面向张量的方法,可以有效地实现所需的矩阵指数作用,这种方法适当地采用了所谓的 μ 模式乘积(当空间半离散化采用有限差分时)或傅里叶空间的点式运算(当模型采用周期性边界条件时)。通过对具有三次或三次-五次非线性的各种二维和三维复杂金兹堡-朗道方程(系统)进行模拟,证明了该方法的整体有效性,这些方程在文献中被广泛认为是相关物理现象的模型。事实上,我们的研究表明,高阶指数型方案在严格的精确度方面可能优于对所考虑的模型进行时间积分的标准技术,即著名的二阶分步法和显式四阶 Runge-Kutta 积分器。
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Efficient simulation of complex Ginzburg–Landau equations using high-order exponential-type methods

In this paper, we consider the task of efficiently computing the numerical solution of evolutionary complex Ginzburg–Landau equations on Cartesian product domains with homogeneous Dirichlet/Neumann or periodic boundary conditions. To this aim, we employ for the time integration high-order exponential methods of splitting and Lawson type with constant time step size. These schemes enjoy favorable stability properties and, in particular, do not show restrictions on the time step size due to the underlying stiffness of the models. The needed actions of matrix exponentials are efficiently realized by using a tensor-oriented approach that suitably employs the so-called μ-mode product (when the semidiscretization in space is performed with finite differences) or with pointwise operations in Fourier space (when the model is considered with periodic boundary conditions). The overall effectiveness of the approach is demonstrated by running simulations on a variety of two- and three-dimensional (systems of) complex Ginzburg–Landau equations with cubic or cubic-quintic nonlinearities, which are widely considered in literature to model relevant physical phenomena. In fact, we show that high-order exponential-type schemes may outperform standard techniques to integrate in time the models under consideration, i.e., the well-known second-order split-step method and the explicit fourth-order Runge–Kutta integrator, for stringent accuracies.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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