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      • Markov Prediction based on Semi-supervised Kernel Fuzzy Clustering

        Li Yi-ran,Zhang Chun-na,Guo Sheng-xing 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.2

        This paper proposes an improved Markov prediction, according to the temperature control problem of hot blast stove alternate supply air in the operation of blast furnace operation, namely, implement clustering for waiting to be processed data, used kernel fuzzy c-means clustering based on the pairwise constraints. The supply air temperature of hot blast stove is seen as without aftereffect things in this method, introduce semi-supervised learning mechanism in traditional fuzzy clustering to deal with the basic data, and using the kernel effectiveness index improved the FCM algorithm. Experiments show that the improved clustering algorithm is superior to other algorithms in accuracy and performance, at the same time, the improved prediction model comparison with the traditional values of temperature prediction, which has obvious advantages in defined temperature range and the fit of the temperature value, the guiding significance was significantly enhanced in industrial field.

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        Relation between the local structure and solid solubility of the layered material LiMO2 (M=Co, Ni, Fe) in Li2MnO3

        Chen Hou,Xiang Xiao,Yi-Ran Xing,Le-Le Yu,Yong-Heng Si,Han Lu,Yu-Juan Zhao 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.1

        Although low solid solubility and activity of LiFeO2in xLi2MnO3·(1–x)LiFeO2 limit its practical application, it still has thepotential to become a new-generation cathode material without cobalt or nickel for Li-ion batteries. In order to understand theeffects of the local structures of different LiMO2(M = Co, Ni, Fe) layered materials on their solid solubility in Li2MnO3,partialdensities of states are calculated to determine the Jahn–Teller distortion in the layered cathode material, and the first-principlescalculation method based on density functional theory is used to optimize and compare the local structures of LiCoO2,LiNiO2,LiFeO2,LiMnO2,and Li2MnO3. The degrees of distortion of the transition metal–oxygen (M–O) and lithium–oxygen (Li–O)octahedra in the crystal structure of the material are evaluated. It is clear that the solid solubility of layered materials is relatedto the bond lengths and degrees of distortion of the M–O and Li–O octahedra. Among them, the similar bond length of LiNiO2and Li2MnO3and the high distortion of NiO6enhance the solid solubility of LiNiO2in Li2MnO3. Owing to the absence ofJahn–Teller distortion in LiFeO2and LiCoO2,the FeO6and CoO6octahedra are slightly distorted, thereby decreasing thesolid solubility of LiMO2(M = Fe, Co) in Li2MnO3. Understanding the relation between intra-octahedral distortion and solidsolubility provides simple and efficient evidence for comparing the solid solubilities of different LiMO2layered materials inthe Li2MnO3of Li-rich cathode materials. This study can be used as a reference for component design in Li-rich materials.

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