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Thermoelectric and Thermomagnetic Transport in PbTe with Nanoscale Structures

机译:具有纳米级结构的PBTE热电和热磁性传输

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Quantum-dot superlattices (QDSLs) have demonstrated thermoelectric figure of merit (ZT) values double those of classical bulk materials, providing the proof that nanoscale materials can address this age-old limitation on thermoelectric technology. Since QDSL materials can only be obtained in thin-film form, the development of bulk materials with nanoscale inclusions would be useful for many large-scale applications. Nanometer-scale inclusions in lead chalcogenides are known to improve the thermoelectric figure of merit through a combination of two factors: a strong decrease in lattice thermal conductivity, and an increase in the Seebeck coefficient over that of bulk PbTe for a given carrier concentration. This paper focuses on experimental results obtained on two types of PbTe nanocomposites, namely samples prepared by sintering powders with nanometer-sized grains, and samples prepared with nanoprecipitates of metallic Pb. The results are analyzed using the "method of four coefficients." At each measurement temperature there are four unknowns. These are the carrier concentration, the mobility, the carrier effective mass, and the energy dependence of the relaxation time, which is modeled by a power law τ ∝ E~λ Therefore, at each temperature, four measurements are taken: the electrical conductivity, and the Hall, Seebeck and transverse Nernst-Ettingshausen coefficients. This analysis concludes that the effect of the nanoscale inclusions on the power factor is due to an increase in the scattering parameter λ, and that the nanoscale inclusions affect the electron scattering in such a way as to increase the Seebeck coefficient.
机译:Quantum-Dot Supertarattices(QDSL)已经证明了经典散装材料的热电人物(ZT)值两倍,提供了纳米级材料可以解决对热电技术的这种古老限制的证据。由于QDSL材料只能以薄膜形式获得,因此具有纳米级夹杂物的散装材料的开发对于许多大规模应用是有用的。已知含铅硫芥子生成剂中的纳米凝固夹杂物通过两个因素的组合改善优点的热电人物:晶格导热率的强度降低,以及给定载流子浓度的大量PBTE的塞贝克系数的增加。本文重点介绍在两种类型的PBTE纳米复合材料上获得的实验结果,即通过烧结粉末制备的样品,具有纳米尺寸的晶粒制备,以及用金属Pb的纳米尺寸制备的样品。使用“四个系数的方法”分析结果。在每个测量温度下,有四个未知数。这些是载流子浓度,迁移率,载流子有效质量和弛豫时间的能量依赖性,其在每个温度下通过功率法ταe〜λ建模,因此采用四次测量:电导率,和大厅,塞贝克和横向NERNST-ertingshausen系数。该分析得出结论:纳米级夹杂物对功率因数的影响是由于散射参数λ的增加,并且纳米级夹杂物以增加塞贝克系数的方式影响电子散射。

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