Thermodynamics of solids including anharmonicity through quasiparticle theory

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Ernesto J. Blancas, Álvaro Lobato, Fernando Izquierdo-Ruiz, Antonio M. Márquez, J. Manuel Recio, Pinku Nath, José J. Plata, Alberto Otero-de-la-Roza
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Abstract

The quasiharmonic approximation (QHA) in combination with density-functional theory is the main computational method used to calculate thermodynamic properties under arbitrary temperature and pressure conditions. QHA can predict thermodynamic phase diagrams, elastic properties and temperature- and pressure-dependent equilibrium geometries, all of which are important in various fields of knowledge. The main drawbacks of QHA are that it makes spurious predictions for the volume and other properties in the high temperature limit due to its approximate treatment of anharmonicity, and that it is unable to model dynamically stabilized structures. In this work, we propose an extension to QHA that fixes these problems. Our approach is based on four ingredients: (i) the calculation of the n-th order force constants using randomly displaced configurations and regularized regression, (ii) the calculation of temperature-dependent effective harmonic frequencies ω(V, T) within the self-consistent harmonic approximation (SCHA), (iii) Allen’s quasiparticle (QP) theory, which allows the calculation of the anharmonic entropy from the effective frequencies, and (iv) a simple Debye-like numerical model that enables the calculation of all other thermodynamic properties from the QP entropies. The proposed method is conceptually simple, with a computational complexity similar to QHA but requiring more supercell calculations. It allows incorporating anharmonic effects to any order. The predictions of the new method coincide with QHA in the low-temperature limit and eliminate the QHA blowout at high temperature, recovering the experimentally observed behavior of all thermodynamic properties tested. The performance of the new method is demonstrated by calculating the thermodynamic properties of geologically relevant minerals MgO and CaO. In addition, using cubic SrTiO3 as an example, we show that, unlike QHA, our method can also predict thermodynamic properties of dynamically stabilized phases. We expect this new method to be an important tool in geochemistry and materials discovery.

Abstract Image

通过准粒子理论研究包括非谐波性在内的固体热力学
准谐波近似(QHA)与密度函数理论相结合,是用于计算任意温度和压力条件下热力学性质的主要计算方法。QHA 可以预测热力学相图、弹性特性以及与温度和压力相关的平衡几何形状,所有这些在各个知识领域都非常重要。QHA 的主要缺点是,由于其对非谐波性的近似处理,它对高温极限下的体积和其他性质的预测是虚假的,而且它无法为动态稳定结构建模。在这项工作中,我们提出了 QHA 的扩展方案,以解决这些问题。我们的方法基于四个要素:(i) 使用随机位移构型和正则化回归计算 n 阶力常数,(ii) 在自洽谐波近似(SCHA)中计算与温度相关的有效谐波频率 ω(V, T)、(iii) 艾伦的准粒子(QP)理论,可根据有效频率计算非谐波熵;以及 (iv) 类似 Debye 的简单数值模型,可根据 QP 熵计算所有其他热力学性质。所提出的方法概念简单,计算复杂度与 QHA 相似,但需要更多的超胞计算。它允许将非谐波效应纳入任何阶次。新方法的预测结果在低温极限与 QHA 相吻合,并消除了 QHA 在高温下的井喷现象,恢复了所有测试热力学性质的实验观察行为。通过计算地质相关矿物氧化镁和氧化钙的热力学性质,证明了新方法的性能。此外,我们还以立方体 SrTiO3 为例,说明与 QHA 不同,我们的方法也能预测动态稳定相的热力学性质。我们期待这一新方法成为地球化学和材料发现领域的重要工具。
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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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