• Last Update:August,23,2019 Created:August,23,2019
  • Comment
  • Like
  • Favorite



Title of the dataset Ni(OH)(2)@MnO2锂离子电池材料
Provenance of the dataset
How were the data collected/created? What was the cost? 王博
Data sharing policy Shareable for research purpose
Data sharing policy just for research purpose

About data analysis and simulation

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. text number
Variable labels of dataset (the names of the variables) 循环效率,循环后容量,循环次数,电流密度
Outline of data Caterpillar structured Ni(OH)(2)@MnO2 core/shell nanocomposite arrays on nickel foams (CS Ni(OH)2@MnO2 NFs) are synthesized by a facile hydrothermal method. The nanocomposites consist of Ni(OH)(2) nanosheets which are coated by a series of ultrathin MnO2 nanosheets as a secondary nanostructure. As an anode for lithium ion batteries (LIBs), the as-fabricated CS Ni(OH)(2)@MnO2 NFs show an improved electrochemical performance, which delivers a high specific capacity of 2223 mA h g(-1) in the initial discharge process and retains a reversible capacity of about 1210 mA h g(-1) after 80 cycles at 200 mA g(-1), corresponding to a capacity retention of 74.4% with comparison of the second cycle. CS Ni(OH)(2)@MnO2 NFs also show a remarkable rate capability of 650 mA h g(-1) after 100 cycles while cycling at 1000 mA g(-1). The improved electrochemical performance can be ascribed to a large surface area, more efficient electrolyte penetration, and multifunctionalities offered by the individual components of the caterpillar core/shell nanostructure. In addition, the self-supported nanocomposite arrays on NFs greatly simplify the fabrication processing of electrodes without applying a binder and conductive additive, which provide good electrical contact between the active materials and the substrate. Hence, CS Ni(OH)(2)@MnO2 NFs are promising anode candidates for lithium-ion batteries. 文献DOI:10.1039/c5ra21944b
Simulation process
Expected outcome of the process (obtained knowledge, analysis results, output of tools)
Anticipation for analyses/simulations other than the typical ones provided above


What kind of data/tools do you wish to have?
Visualized information
Sample data
  • ※知識グラフ:このデータに関するソリューション・要求および関連するデータの関係性を示すグラフ

Comment form


Please check the terms of use here.