Iterative design of a high zT thermoelectric material

被引：8

作者：

Adekoya, Adetoye H. ^{[1
]}

Zhang, Yuhe ^{[1
]}

Peters, Matthew ^{[1
]}

Male, James ^{[1
]}

Chart, Yvonne ^{[1
]}

Dong, Jason ^{[1
]}

Franks, Ryan ^{[1
]}

Furlong, Alexander ^{[1
]}

Guo, Binghao ^{[1
]}

Agne, Matthias T. ^{[1
]}

Olson, Gregory ^{[1
,2
]}

Snyder, G. Jeffrey ^{[1
]}

机构：

[1] Northwestern Univ, Dept Mat Sci & Engn, Evanston, IL 60208 USA

[2] MIT, Dept Mat Sci & Engn, 32 Vassar St,Bldg 4-415, Cambridge, MA 02139 USA

来源：

APPLIED PHYSICS LETTERS | 2021年 / 119卷 / 20期

关键词：

THERMAL-CONDUCTIVITY; LATTICE; PERFORMANCE; SCATTERING; CONVERGENCE; BANDS;

D O I：

10.1063/5.0069327

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

Designing a high efficiency thermoelectric material for thermal to electric energy conversion means simultaneously optimizing multiple properties of the material. Although it might seem straightforward to maximize the electrical power and minimize thermal losses, the convoluted relationship between these properties makes optimization complex, requiring a more sophisticated algorithm. The Accelerated Insertion of Materials (AIM) methodology developed to engineer the mechanical properties of complex multiphase steel alloys provides a framework for optimization that can be applied to engineer the thermal and electrical transport properties of a multiphase thermoelectric material. The AIM methodology can be utilized in creating a high figure of merit (zT) material by considering the effects of each structural parameter, such as grain size and grain boundary properties, precipitate volume fraction, and doping and defect concentration of the matrix phase on the zT of the material using a variety of analytical models. The combination of these models provides a way to accelerate the design of high zT materials.

引用

页数：5

共 51 条

[1] Parallel Dislocation Networks and Cottrell Atmospheres Reduce Thermal Conductivity of PbTe Thermoelectrics [J].