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Accelerating evaluation of converged lattice thermal conductivity
npj Computational Materials ( IF 9.7 ) Pub Date : 2018-01-22 , DOI: 10.1038/s41524-017-0058-3
Guangzhao Qin , Ming Hu

High-throughput computational materials design is an emerging area in materials science, which is based on the fast evaluation of physical-related properties. The lattice thermal conductivity (κ) is a key property of materials for enormous implications. However, the high-throughput evaluation of κ remains a challenge due to the large resources costs and time-consuming procedures. In this paper, we propose a concise strategy to efficiently accelerate the evaluation process of obtaining accurate and converged κ. The strategy is in the framework of phonon Boltzmann transport equation (BTE) coupled with first-principles calculations. Based on the analysis of harmonic interatomic force constants (IFCs), the large enough cutoff radius (rcutoff), a critical parameter involved in calculating the anharmonic IFCs, can be directly determined to get satisfactory results. Moreover, we find a simple way to largely (~10 times) accelerate the computations by fast reconstructing the anharmonic IFCs in the convergence test of κ with respect to the rcutof, which finally confirms the chosen rcutoff is appropriate. Two-dimensional graphene and phosphorene along with bulk SnSe are presented to validate our approach, and the long-debate divergence problem of thermal conductivity in low-dimensional systems is studied. The quantitative strategy proposed herein can be a good candidate for fast evaluating the reliable κ and thus provides useful tool for high-throughput materials screening and design with targeted thermal transport properties.



中文翻译:

加速评估会聚晶格的热导率

高通量计算材料设计是材料科学中的一个新兴领域,它基于对物理相关特性的快速评估。晶格热导率(κ)是具有重大意义的材料的关键特性。但是,由于高昂的资源成本和耗时的过程,对κ进行高通量评估仍然是一个挑战。在本文中,我们提出了一种简洁的策略,可以有效地加速获得准确且收敛的κ的评估过程。该策略是在声子玻耳兹曼输运方程(BTE)与第一性原理计算相结合的框架中进行的。基于对谐波原子间力常数(IFC)的分析,足够大的截止半径(r截断)是计算非谐IFC的关键参数,可以直接确定以获得满意的结果。此外,我们找到了一种简单的方法,可以通过快速重构κ的非谐波IFC相对于r cutof来大幅度地(约10倍)加速计算,这最终证明了选择的r cutoff是合适的。提出了二维石墨烯和磷光体以及本体SnSe来验证我们的方法,并研究了低维系统中热导率的长期争论性问题。本文提出的定量策略可能是快速评估可靠κ的良好候选者 因此,提供了有用的工具,可用于具有目标传热特性的高通量材料筛选和设计。

更新日期:2018-01-22
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