Issue 37, 2020

High-throughput computational screening of 2D materials for thermoelectrics

Abstract

High-performance thermoelectric materials are critical in recuperating the thermal losses in various machinery and promising in renewable energy applications. In this respect, the search for novel thermoelectric materials has attracted considerable attention. In particular, low dimensional materials have been proposed as potential candidates due to their unique and controllable thermal and electronic transport properties. The considerable potential of several two-dimensional materials as thermoelectric devices has already been uncovered and many new candidates that merit further research have been suggested. In this regard, we comprehensively investigate the thermoelectric coefficients and electronic fitness function (EFF) of a large family of structurally isotropic and anisotropic two-dimensional layered materials using density functional theory combined with semi-classical Boltzmann transport theory. With this high-throughput screening, we bring to light additional 2D crystals that haven't been previously classified as favorable TE materials. We predict that Pb2Se2, GeS2, As2, NiS2, Hf2O6, Zr2O6, AsBrS, ISbTe, ISbSe, AsISe, and AsITe are promising isotropic thermoelectric materials due to their considerably high EFF values. In addition to these materials, Hf2Br4, Zr2Br4, Hf2Cl4, Zr2Cl4, Hf2O6, Zr2O6 and Os2O4 exhibit strong anisotropy and possess prominently high EFF values.

Graphical abstract: High-throughput computational screening of 2D materials for thermoelectrics

Supplementary files

Article information

Article type
Paper
Submitted
13 May 2020
Accepted
28 Aug 2020
First published
31 Aug 2020

J. Mater. Chem. A, 2020,8, 19674-19683

High-throughput computational screening of 2D materials for thermoelectrics

S. Sarikurt, T. Kocabaş and C. Sevik, J. Mater. Chem. A, 2020, 8, 19674 DOI: 10.1039/D0TA04945J

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