Computational strategies for design and discovery of nanostructured thermoelectrics

被引:50
|
作者
Hao, Shiqiang [1 ]
Dravid, Vinayak P. [1 ]
Kanatzidis, Mercouri G. [2 ]
Wolverton, Christopher [1 ]
机构
[1] Northwestern Univ, Dept Mat Sci & Engn, Evanston, IL 60208 USA
[2] Northwestern Univ, Dept Chem, 2145 Sheridan Rd, Evanston, IL 60208 USA
关键词
ULTRALOW THERMAL-CONDUCTIVITY; PERFORMANCE BULK THERMOELECTRICS; VALENCE-BAND CONVERGENCE; P-TYPE PBS; PHONON-SCATTERING; POWER-FACTOR; FIGURE; MERIT; SNTE; ENHANCEMENT;
D O I
10.1038/s41524-019-0197-9
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The contribution of theoretical calculations and predictions in the development of advanced high-performance thermoelectrics has been increasingly significant and has successfully guided experiments to understand as well as achieve record-breaking results. In this review, recent developments in high-performance nanostructured bulk thermoelectric materials are discussed from the viewpoint of theoretical calculations. An effective emerging strategy for boosting thermoelectric performance involves minimizing electron scattering while maximizing heat-carrying phonon scattering on many length scales. We present several important strategies and key examples that highlight the contributions of first-principles-based calculations in revealing the intricate but tractable relationships for this synergistic optimization of thermoelectric performance. The integrated optimization approach results in a fourfold design strategy for improved materials: (1) a significant reduction of the lattice thermal conductivity through multiscale hierarchical architecturing, (2) a large enhancement of the Seebeck coefficient through intramatrix electronic band convergence engineering, (3) control of the carrier mobility through band alignment between the host and second phases, and (4) design of intrinsically low-thermal-conductivity materials by maximizing vibrational anharmonicity and acoustic-mode Gruneisen parameters. These combined effects serve to enhance the power factor while reducing the lattice thermal conductivity. This review provides an improved understanding of how theory is impacting the current state of this field and helps to guide the future search for high-performance thermoelectric materials.
引用
收藏
页数:10
相关论文
共 50 条
  • [11] Nanostructured and single phase thermoelectrics
    Kanatzidis, Mercouri
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253
  • [12] Computational Materials Discovery and Design
    Mark Asta
    JOM, 2014, 66 : 364 - 365
  • [13] Computational drug discovery and design
    Anika, Mutia
    Ariyanto, Yogy Satria
    Gore, M.
    Jagtap, U. B.
    CRYSTALLOGRAPHY REVIEWS, 2023, 29 (04) : 247 - 250
  • [14] Computational Materials Discovery and Design
    Asta, Mark
    JOM, 2014, 66 (03) : 364 - 365
  • [15] Nanoscale heat transfer and nanostructured thermoelectrics
    Chen, G
    ITHERM 2004, VOL 1, 2004, : 8 - 17
  • [16] Nanoscale heat transfer and nanostructured thermoelectrics
    Chen, Gang
    IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES, 2006, 29 (02): : 238 - 246
  • [17] Computational Chemogenomics in Drug Design and Discovery
    Bisson, William H.
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2012, 12 (17) : 1867 - 1868
  • [18] Computational Methods for Drug Discovery and Design
    Tropsha, Alexander
    Bajorath, Juergen
    JOURNAL OF MEDICINAL CHEMISTRY, 2016, 59 (01) : 1 - 1
  • [19] Material Descriptors for the Discovery of Efficient Thermoelectrics
    Graziosi, Patrizio
    Kumarasinghe, Chathurangi
    Neophytou, Neophytos
    ACS APPLIED ENERGY MATERIALS, 2020, 3 (06) : 5913 - 5926
  • [20] Drug discovery and computational strategies in the multitarget drugs era
    Viana, Jessika de Oliveira
    Felix, Mayara Barbalho
    Maia, Mayara dos Santos
    Serafim, Vanessa de Lima
    Scotti, Luciana
    Scotti, Marcus Tullius
    BRAZILIAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2018, 54