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Disk-like micron-sized monocrystalline LiNi0.5Co0.2Mn0.3O2 is synthesized by the co-precipitation method accompanied with calcination assisted by strontian carbonate without washing process or other complicated treatment. Powder X-ray diffraction, scanning electron microscopy, and transmission electron microscopy are used to characterize the obtained samples. Characterizations reveal that the addition of SrCO3 help to form monocrystalline LiNi0.5Co0.2Mn0.3O2 with preferred (104) plane, and the particle is disk-like and in micrometer size. Electrochemical test results indicate that the LiNi0.5Co0.2Mn0.3O2 exhibits significantly improved capacity retentions of 95.6% and 89.3% after 100 cycles at 1C, for the voltage ranges of 2.8−4.3 V and 2.8−4.5 V, respectively. The excellent cycle performance of the LiNi0.5Co0.2Mn0.3O2 is ascribed to the unique monocrystalline morphology, high stability of (104) plane and reduced irreversible phase transition. [ABSTRACT FROM AUTHOR]

Empirical relationships between the macroseismic intensity and the ground‐motion parameters (peak ground acceleration [PGA], peak ground velocity [PGV]) for western China are derived in this study. A strong ground‐motion database including 34 moderate to large earthquakes is used along with the corresponding modified Mercalli intensity (MMI) information inferred from isoseismal maps and earthquake damage reports. A weighted least‐squares regression with analytic hierarchy process (AHP) is used to find the following simple relationships between MMI and PGA or PGV with V≤I≤IX:MMI=3.311logPGA-0.354⁠, MMI=3.356logPGV+3.315⁠. These new relationships are significantly different from the Liu et al. (1980) correlations, which have been used in the Chinese macroseismic seismic intensity scale (CMSIS). The proposed simple relationships are then compared with similar equations developed from other regions. Comparison confirms that such relationships should be regional‐dependent because the frequency content of ground motions exhibits local properties. To quantify the regional variations to the global relationships from Caprio et al. (2015), regional correction factors (RCFs) for western China are obtained by the proposed simple relationships. We also refined predictive relationships that include Ms and epicentral distance as independent variables. [ABSTRACT FROM AUTHOR]