基于第一性原理的各向异性温度相关晶格参数和弹性常数

IF 11.9 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Samare Rostami, Matteo Giantomassi, Xavier Gonze
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引用次数: 0

摘要

我们提出了在准调和近似框架内的零静态内应力近似(ZSISA)的有效实现,从第一性原理计算各向异性热膨胀和弹性常数。通过使用基于梯度的方法(利用振动自由能的二阶导数)取代昂贵的多维最小化方法,所需声子带结构计算的数量显著减少:六边形、三角形和四边形系统只需要6个,低对称性系统只需要10-28个来确定晶格参数和热膨胀的温度依赖性。与标准的ZSISA方法相比,该方法能够准确地模拟各向异性热膨胀,同时大大降低了计算成本。该实现在从三次到三次对称的一系列材料上进行了验证,并扩展到计算温度相关的弹性常数,只需要一些额外的声子带结构计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Anisotropic temperature-dependent lattice parameters and elastic constants from first principles

Anisotropic temperature-dependent lattice parameters and elastic constants from first principles

We present an efficient implementation of the Zero Static Internal Stress Approximation (ZSISA) within the Quasi-Harmonic Approximation framework to compute anisotropic thermal expansion and elastic constants from first principles. By replacing the costly multidimensional minimization with a gradient-based method that leverages second-order derivatives of the vibrational free energy, the number of required phonon band structure calculations is significantly reduced: only six are needed for hexagonal, trigonal, and tetragonal systems, and 10–28 for lower-symmetry systems to determine the temperature dependence of lattice parameters and thermal expansion. This approach enables accurate modeling of anisotropic thermal expansion while substantially lowering computational cost compared to standard ZSISA method. The implementation is validated on a range of materials with symmetries from cubic to triclinic and is extended to compute temperature-dependent elastic constants with only a few additional phonon band structure calculations.

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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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