Spinel LiMn2O4 is a widely utilized cathode material for Li-ion batteries. However, its applications are limited by its poor energy density and power density. Herein, a novel hierarchical porous onion-like LiMn2O4(LMO) was prepared to shorten the Li+ diffusion pathway with the presence of uniform pores and nanosized primary particles. The growth mechanism of the porous onion-like LiMn2O4 was analyzed to control the morphology and the crystal structure so that it forms a polyhedral crystal structure with reduced Mn dissolution. In addition, graphene was added to the cathode (LiMn2O4/graphene) to enhance the electronic conductivity. The synthesized LiMn2O4/graphene exhibited an ultrahigh-rate performance of 110.4 mAh·g–1 at 50 C and an outstanding energy density at a high power density, maintaining 379.4 Wh·kg–1 at 25,293 W·kg–1. Besides, it shows durable stability, with only 0.02% decrease in the capacity per cycle at 10 C. Furthermore, the (LiMn2O4/graphene)/graphite full-cell exhibited a high discharge capacity. This work provides a promising method for the preparation of outstanding, integrated cathodes for potential applications in lithium ion batteries.
Molecular recognition and docking are essential to the biologicalfunctions of proteins. SOFTDOCK was one of the first moleculardocking methods developed for proteinprotein docking.Its ability to represent the molecular surface with differentshapes and properties and to dock a variety of molecular complexeswith certain conformational changes was demonstrated in a previousstudy. In the present work, we studied the effects of the dockingparameters through statistical analysis. Seventy one typicalbinary complexes of different categories in PDB were also systematicallydocked for a test; 57 of them produced correct solutions withone set of docking parameters whereas the other 14 complexesrequired adjustment of the docking parameters, by decreasingthe softness of the recognition and hence the background noise.We found that these 14 complexes had special structural features.Our results suggest that a variety of mechanisms may be involvedin molecular recognition rather than the shape complementarityonly, which is very helpful in developing more powerful methodsfor predicting molecular recognition. 相似文献