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Vol.61, No.11, 857 ~ 867, 2023
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| Title |
| The Mechanism Behind the High zT of SnSe2 Added SnSe at High Temperatures |
| 김준수 Junsu Kim , 황성미 Seong-mee Hwang , 박현진 Hyunjin Park , Yinglu Tang , 서원선 Won-seon Seo , 류채우 Chae Woo Ryu , 양희선 Heesun Yang , 신원호 Weon Ho Shin , 김현식 Hyun-sik Kim |
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| Abstract |
| SnSe is a promising thermoelectric material due to its low toxicity, low thermal conductivity, and multiple valence band structures, which are ideal for high electronic transport properties. The multiple valence band structure has attracted many attempts to engineer the carrier concentration of the SnSe via doping, to place its fermi level at a position where the maximum number of valence bands can participate in the electronic transport. Up until now, ~5 × 1019 cm-3 was the highest carrier concentration achieved in SnSe via doping. Recently, introducing SnSe2 into SnSe was found to effectively increase the carrier concentration as high as ~6.5 × 1019 cm-3 (at 300 K) due to the generated Sn vacancies. This high carrier concentration at 300 K, combined with the reduction in lattice thermal conductivity due to SnSe2 micro-domains formed within the SnSe lattice, improved the thermoelectric performance (zT) of SnSe - xSnSe2 as high as ~2.2 at 773 K. Here, we analyzed the changes in the electronic band parameters of SnSe as a function of temperature with varying SnSe2 content using the Single Parabolic Band (SPB) model. According to the SPB model, the calculated density-of-states effective mass and the fermi level are changed with temperature in such a way that the Hall carrier concentration (nH) of the SnSe - xSnSe2 samples at 773 K coincides with the optimum nH where the theoretically maximum zT is predicted. To optimize the nH at high temperatures for the highest zT, it is essential to tune the 300 K nH and the rate of nH change with increasing temperature via doping.
(Received 24 July, 2023; Accepted 6 September, 2023) |
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| Key Words |
| SnSe, Single Parabolic Band model, Carrier concentration, High-temperature zT, Power factor |
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