Abstract: In this paper, an improved residual error non-homogeneous grey model(1,1) was newly developed and estimated the thermoelectric performance parameters (ZT figure of merit) of the high entropy materials(HEMs) using this model. Firstly, by combining the nonhomogeneous grey model, residual error processing method and Markov model, the forecasting accuracy of the model was improved. Secondly, the forecasting accuracy of the proposed model was compared with other grey models in simulating ZT values of AgSnSbSe1.5Te1.5. The comparative results showed that the forecasting accuracy of the proposed model was the highest (MAPE value < 0.02). Thirdly, this model was used to predict ZT values of high entropy materials at the high temperatures. The simulation result showed that ZT value of increased rapidly over 750K and were higher than 1.0 above 950K, continued to increase over the whole temperature range in Bi0.9Li0.1Cu0.9Mn0.1SeO. Meanwhile, ZT reached 1.81 at 1000K in Sn0.555Ge0.15Pb0.07Mn0.275Te, and ZT value of the Sn0.5Pb0.5Ge0.5Te(MnTe)0.15 had a maximum value of 1.72 at 900K and after that, it decreased. The results indicate that the proposed model is effective in predicting ZT values of high entropy materials.  

Key words:  , Grey model, Residual error, Estimating, High entropy material, ZT figure of merit