A high-order energy stable method for the MBE models with slope selection by using Lagrange multiplier approach

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics Letters Pub Date : 2024-09-23 DOI:10.1016/j.aml.2024.109316
Nan Wang, Binbin Jiang, Meng Li
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Abstract

In this work, we develop high-order convex splitting implicit–explicit Runge–Kutta methods for Molecular Beam Epitaxy (MBE) model with slope selection, which plays key roles in materials science and physics for describing various phenomena, such as phase transitions, interactions and interfacial dynamics. Since the epitaxy surface height evolution equation is viewed as a dynamical form of a L2-gradient flow, MBE has the highly similar growing processes as the growing facets in phase-ordering process in magnetic systems. Within this context, we focus our attention on the systems with multiple components possess greater physical significance than their classical (single-component) counterparts. We rigorously prove that the proposed schemes both preserve the energy dissipation and mass conservation. Finally, the accuracy and efficiency of proposed schemes are demonstrated by some numerical experiments.
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利用拉格朗日乘法器方法为具有斜率选择功能的 MBE 模型提供高阶能量稳定方法
在这项工作中,我们为具有斜率选择的分子束外延(MBE)模型开发了高阶凸分裂隐式-显式 Runge-Kutta 方法,该方法在材料科学和物理学中对相变、相互作用和界面动力学等各种现象的描述起着关键作用。由于外延表面高度演化方程被视为 L2 梯度流的动力学形式,因此 MBE 的生长过程与磁性系统中相序过程的生长面高度相似。在此背景下,我们重点关注多分量系统比经典(单分量)系统具有更大的物理意义。我们严格证明,所提出的方案既能保持能量耗散,又能保持质量守恒。最后,我们通过一些数值实验证明了所提方案的准确性和效率。
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来源期刊
Applied Mathematics Letters
Applied Mathematics Letters 数学-应用数学
CiteScore
7.70
自引率
5.40%
发文量
347
审稿时长
10 days
期刊介绍: The purpose of Applied Mathematics Letters is to provide a means of rapid publication for important but brief applied mathematical papers. The brief descriptions of any work involving a novel application or utilization of mathematics, or a development in the methodology of applied mathematics is a potential contribution for this journal. This journal''s focus is on applied mathematics topics based on differential equations and linear algebra. Priority will be given to submissions that are likely to appeal to a wide audience.
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