Synthesis and high temperature thermoelectric transport properties of Si-based type-I clathrates
Deng Shu-Kang(邓书康)a)b)†, Tang Xin-Feng(唐新峰)b), and Tang Run-Sheng(唐润生)a)
a Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology; Yunnan Normal University, Kunming 650092, China; b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China
Abstract N-type Si-based type-I clathrates with different Ga content were synthesized by combining the solid-state reaction method, melting method and spark plasma sintering (SPS) method. The effects of Ga composition on high temperature thermoelectric transport properties were investigated. The results show that at room temperature, the carrier concentration decreases, while the carrier mobility increases slightly with increasing Ga content. The Seebeck coefficient increases with increasing Ga content. Among all the samples, Ba7.93Ga17.13Si28.72 exhibits higher Seebeck coefficient than the others and reaches -135 μV$\cdot$K-1 at 1000 K. The sample prepared by this method exhibits very high electrical conductivity, and reaches 1.95×105S$\cdot$m-1 for Ba8.01Ga16.61Si28.93 at room temperature. The thermal conductivity of all samples is almost temperature independent in the temperature range of 300--1000 K, indicating the behaviour of a typical metal. The maximum ZT value of 0.75 is obtained at 1000 K for the compound Ba7.93Ga17.13Si28.72.
Received: 05 September 2008
Revised: 20 November 2008
Accepted manuscript online:
(Electrical and thermal conduction in crystalline metals and alloys)
Fund: Project supported
by the National Basic Research Program of China (Grant Nos
2007CB607501 and 2007CB607503) and Yunnan Natural Science
Fund (Grant No 2008CD114).
Cite this article:
Deng Shu-Kang(邓书康), Tang Xin-Feng(唐新峰), and Tang Run-Sheng(唐润生) Synthesis and high temperature thermoelectric transport properties of Si-based type-I clathrates 2009 Chin. Phys. B 18 3084
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.