Ab initio Green-Kubo simulations of heat transport in solids: Method and implementation

被引:8
|
作者
Knoop, Florian [1 ,2 ,3 ]
Scheffler, Matthias [1 ,2 ]
Carbogno, Christian [1 ,2 ]
机构
[1] Max Planck Gesell, NOMAD Lab FHI, D-14195 Berlin, Germany
[2] Humboldt Univ, IRIS Adlershof, D-14195 Berlin, Germany
[3] Linkoping Univ, Dept Phys Chem & Biol IFM, Theoret Phys Div, SE-58183 Linkoping, Sweden
基金
欧洲研究理事会; 瑞典研究理事会; 欧盟地平线“2020”;
关键词
LATTICE THERMAL-CONDUCTIVITY; STATISTICAL-MECHANICAL THEORY; MOLECULAR-DYNAMICS; IRREVERSIBLE-PROCESSES; MGO PERICLASE; CRYSTALS; DIFFUSIVITY; EFFICIENT; AL2O3; FLUX;
D O I
10.1103/PhysRevB.107.224304
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Ab initio Green-Kubo (aiGK) simulations of heat transport in solids allow for assessing lattice thermal conductivity in anharmonic or complex materials from first principles. In this work, we present a detailed account of their practical application and evaluation with an emphasis on noise reduction and finite-size corrections in semiconductors and insulators. To account for such corrections, we propose strategies in which all necessary numerical parameters are chosen based on the dynamical properties displayed during molecular dynamics simulations in order to minimize manual intervention. This paves the way for applying the aiGK method in semiautomated and high-throughput frameworks. The proposed strategies are presented and demonstrated for computing the lattice thermal conductivity at room temperature in the mildly anharmonic periclase MgO, and for the strongly anharmonic marshite CuI.
引用
收藏
页数:12
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