Computational Materials Science2022,Vol.2019.DOI:10.1016/j.commatsci.2021.110931

Low lattice thermal conductivity and its role in the remarkable thermoelectric performance of newly predicted SiS2 and SiSe2 monolayers

Bera, Jayanta Betal, Atanu Singh, Zimmi Gandi, Appala Naidu Sahu, Satyajit
Computational Materials Science2022,Vol.2019.DOI:10.1016/j.commatsci.2021.110931

Low lattice thermal conductivity and its role in the remarkable thermoelectric performance of newly predicted SiS2 and SiSe2 monolayers

Bera, Jayanta 1Betal, Atanu 1Singh, Zimmi 1Gandi, Appala Naidu 1Sahu, Satyajit1
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作者信息

  • 1. Indian Inst Technol Jodhpur
  • 折叠

Abstract

For high-efficiency thermoelectric power conversion, not only improvement of existing materials properties but also prediction and synthesis of new thermoelectric materials are needed. Here, we have carried out a systematic investigation on the thermoelectric performance of newly predicted two dimensional (2D) semiconducting SiS2 and SiSe2 monolayers using density functional theory (DFT) and solving the Boltzmann transport equations (BTEs) for electrons and phonons. Our computed value of lattice thermal conductivity (k(ph)) in SiSe2 monolayer is ultralow, which results in a high thermoelectric figure of merit (zT) value of 0.86 (0.83) for p-type (n-type) at 900 K in SiSe2 monolayer. While in SiS2 monolayer, zT value are 0.77 (p-type) and 0.71 (n-type) at 900 K. The values of k(ph) are attributed to low group velocity, strong anharmonicity and phonon-phonon coupling of acoustic and low-frequency optical branches, leading to larger scattering, smaller mean free path, and shorter lifetime of phonons. It is also found that p-type doping is more effective than n-type doping to get optimal power factor (PF) and zT. Our findings suggest that newly predicted semiconducting SiSe2 and SiS2 monolayers can be very promising thermoelectric materials for the fabrication of high-efficiency thermoelectric power generators to convert waste heat into electricity.

Key words

Density functional theory/Thermoelectric performance/First-principles calculation/Lattice thermal conductivity/Gruneisen parameter/TRANSPORT-PROPERTIES/CARRIER MOBILITY/BULK/SKUTTERUDITES/ELECTRON/FIGURE/ROUTE/MERIT/MOS2

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量8
参考文献量74
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