黄铜矿
热电效应
半导体
功勋
热导率
热的
材料科学
热电材料
格子(音乐)
热力学
密度泛函理论
凝聚态物理
工程物理
化学
计算化学
物理
光电子学
冶金
铜
复合材料
声学
作者
José J. Plata,Víctor Posligua,Antonio M. Márquez,Javier Fdez. Sanz,Ricardo Grau‐Crespo
标识
DOI:10.1021/acs.chemmater.2c00336
摘要
Chalcopyrite-structured semiconductors have promising potential as low-cost thermoelectric materials, but their thermoelectric figures of merit must be increased for practical applications. Understanding their thermal properties is important for engineering their thermal conductivities and achieving better thermoelectric behavior. We present here a theoretical investigation of the lattice thermal conductivities of 20 chalcopyrite semiconductors with an ABX2composition (I-III-VI2) (A = Cu or Ag; B = Al, Ga, In, or Tl; X = S, Se, or Te). To afford accurate predictions across this large family of compounds, we solve the Boltzmann transport equation with force constants derived from density functional theory calculations and machine learning-based regression algorithms, reducing by between 1 and 2 orders of magnitude the computational cost with respect to conventional approaches of the same accuracy. The results are in good agreement with available experimental data and allow us to rationalize the role of chemical composition, temperature, and nanostructuring in the thermal conductivities across this important family of semiconductors.
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