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- W2063224960 abstract "An effective numerical method to predict quantitatively the relation between the dimensionless figure of merit of the state-of-the-art thermoelectric materials with the temperature was investigated by look around for some fitting mathematical functions. The simulative results agree with the observed data very well that the minimum correlation coefficient and the maximum average relative errors between them are 0.9767 and 4.35 % respectively. The high light of this work is that the regular pattern of the dimensionless figure of merit of the state-of-the-art thermoelectric materials dependence temperature appears Gaussian. This conclusion may be an available tip to the the theoretical physicist to build or modify some theoretical model that used to explain the physical mechanisms of the thermoelectric materials." @default.
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- W2063224960 date "2012-06-01" @default.
- W2063224960 modified "2023-09-27" @default.
- W2063224960 title "Ascertainment of the Figure of Merit for the State-of-the-Art Thermoelectric Materials via Temperature" @default.
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- W2063224960 doi "https://doi.org/10.4028/www.scientific.net/amr.535-537.1346" @default.
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