An adaptive preconditioning scheme for the self-consistent field iteration and generalized stacking fault energy calculations

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Physics Communications Pub Date : 2024-07-01 DOI:10.1016/j.cpc.2024.109300
Sitong Zhang , Xingyu Gao , Haifeng Song , Bin Wen
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Abstract

The generalized stacking fault energy (GSFE) stands as a fundamental yet pivotal parameter for the plastic deformation of materials. In our investigation, we conduct first-principles calculations using the full-potential linearized augmented planewave (FLAPW) method to assess the GSFE, employing both single-shift and triple-shift supercell models. Different defects in these models result in different impacts on the self-consistent field (SCF) iterations and atomic relaxation. We propose an adaptive preconditioning scheme that can identify the long-wavelength divergence behavior of the Jacobian during the SCF iteration and automatically switch on the Kerker preconditioning to accelerate the convergence without any prior information. We implement this algorithm based on Elk-7.2.42 package and calculate the GSFE curves for the (111) plane along 1¯1¯2 direction of Al, Cu, and Si. The results indicate that defects induced by the vacuum layer in the single-shift supercell model negatively impact the convergence of SCF iterations and atomic relaxation, therefore the triple-shift supercell model is more recommended.

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自洽场迭代和广义堆积断层能量计算的自适应预处理方案
广义堆积断层能(GSFE)是材料塑性变形的一个基本而关键的参数。在研究中,我们使用全电位线性化增强平面波(FLAPW)方法进行第一原理计算,采用单移和三移超级电池模型来评估 GSFE。这些模型中的不同缺陷会对自洽场(SCF)迭代和原子弛豫产生不同的影响。我们提出了一种自适应预处理方案,它可以在 SCF 迭代过程中识别雅各布的长波发散行为,并自动开启 Kerker 预处理,从而在没有任何先验信息的情况下加速收敛。我们基于 Elk-7.2.42 软件包实现了该算法,并计算了铝、铜和硅沿〈1¯1¯2〉方向的 (111) 平面的 GSFE 曲线。结果表明,单移超级晶胞模型中真空层引起的缺陷对 SCF 迭代的收敛性和原子弛豫有负面影响,因此更推荐使用三移超级晶胞模型。
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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