Atomistic-to-continuum coupling

IF 16.3 1区 数学 Q1 MATHEMATICS
M. Luskin, C. Ortner
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引用次数: 119

Abstract

Atomistic-to-continuum (a/c) coupling methods are a class of computational multiscale schemes that combine the accuracy of atomistic models with the efficiency of continuum elasticity. They are increasingly being utilized in materials science to study the fundamental mechanisms of material failure such as crack propagation and plasticity, which are governed by the interaction between crystal defects and long-range elastic fields. In the construction of a/c coupling methods, various approximation errors are committed. A rigorous numerical analysis approach that classifies and quantifies these errors can give confidence in the simulation results, as well as enable optimization of the numerical methods for accuracy and computational cost. In this article, we present such a numerical analysis framework, which is inspired by recent research activity.
Atomistic-to-continuum耦合
原子-连续体耦合方法是将原子模型的精度与连续体弹性的效率相结合的一类多尺度计算方法。它们在材料科学中被越来越多地用于研究材料失效的基本机制,如裂纹扩展和塑性,这是由晶体缺陷和远程弹性场之间的相互作用所控制的。在构建a/c耦合方法时,会产生各种近似误差。严格的数值分析方法可以对这些误差进行分类和量化,从而为模拟结果提供信心,并能够优化数值方法的准确性和计算成本。在本文中,我们提出了这样一个数值分析框架,这是受到最近的研究活动的启发。
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来源期刊
Acta Numerica
Acta Numerica MATHEMATICS-
CiteScore
26.00
自引率
0.70%
发文量
7
期刊介绍: Acta Numerica stands as the preeminent mathematics journal, ranking highest in both Impact Factor and MCQ metrics. This annual journal features a collection of review articles that showcase survey papers authored by prominent researchers in numerical analysis, scientific computing, and computational mathematics. These papers deliver comprehensive overviews of recent advances, offering state-of-the-art techniques and analyses. Encompassing the entirety of numerical analysis, the articles are crafted in an accessible style, catering to researchers at all levels and serving as valuable teaching aids for advanced instruction. The broad subject areas covered include computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis, nonlinear dynamical systems, as well as the application of computational techniques in science and engineering. Acta Numerica also delves into the mathematical theory underpinning numerical methods, making it a versatile and authoritative resource in the field of mathematics.
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