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In an attempt to determine the relationship among the network structure, viscosity, electrical conductivity, surface tension, and density of chromium-containing glass melts, the variation in glass melt thermophysical properties of the CaO-MgO-Al 2 O 3 -SiO 2 quaternary system were investigated by comprehensive physical property analysis and Raman spectroscopy. The results demonstrated that the network structural units Q n (n=0, 1, 2, 3) coexisted in the glass melts and their mutual transformation caused changes in the depolymerization degree, leading to a range of viscous activation energies, conductive activation energies, surface tension, and melt densities. Additionally, the logarithm of viscosity varied linearly with the logarithm of electrical conductivity (slope: 0.67-1.54). Meanwhile, the surface tension and melt density decreased with temperature. Consideration of these interrelations is indispensable during the development of chromium-containing slag glass ceramics, particularly for pilot and industrial applications.

Microstructure of nickel deposit ,which was prepared with pulse-plating technology on depleted uranium surface, has been studied by X-ray diffractometry（XRD）,Scanning electron microscopy (SEM) and Transmission electron microscopy (TEM). The results indicate that the crystallographic structure of the deposit is face centered cubic; the deposit has a highly preferred orientation of (200), the relative orientation density of (200) is 3.44; the average grain size is about 45.5nm. The deposit is fine and has multi-crystal nature as well as crystallographic defects as dislocation, stacking and twin. It’s feasible to prepare nanocrystalline nickel deposit on depleted uranium surface with pulse plating technology.

As a method in the evaluation of smart grid, anti-Shannon-entropy weight can compute index weight which is in even distribution or normal distribution, and a reasonable evaluation result can be obtained, but it is not fit for the weight computation when the index includes a distinctive event in non-unique small probability through the research. For the above problem, a novel index weight algorithmanti-nonextension-entropy weight algorithm is proposed and applied to evaluating microgrid. After constructing the typical microgrid evaluation indexes, some microgrids whose indexes include a distinctive event in non-unique small probability is taken as the research objects to find the difference of two evaluation methods based on the different anti-entropy weight algorithm, and the evaluation testing of microgrid is also performed using two methods. Theoretical analysis and simulation results show that in comparison with the traditional evaluation method the novel evaluation method can not only inherit the merits of the traditional evaluation method but also obtain the reasonable weight of index including a distinctive event in non-unique small probability, which improves the precision of microgrid evaluation.