材料科学
超级电容器
电极
电流密度
掺杂剂
功率密度
纳米技术
兴奋剂
电化学
电容
制作
光电子学
微晶
化学工程
冶金
化学
功率(物理)
医学
物理
替代医学
物理化学
量子力学
病理
工程类
作者
A. Shameem,P. Devendran,A. Murugan,V. Siva,Govindarajan Ramadoss,Hussain Shamima,S. Asath Bahadur
标识
DOI:10.1016/j.susmat.2023.e00661
摘要
In the recent advancement of energy storage, electrode materials delivering high energy density and the capability to deliver noteworthy power compared to batteries are considered to be promising materials. In this study, hierarchical-structured NiMoO4 and various concentrations of Ce rare earth metal doped NiMoO4 materials have been synthesized by microwave-assisted combustion route. Their structural, morphological, and spectroscopical characteristics have been studied using different characterization and analytical techniques. The α to β-NiMoO4 phase transformation with the same crystal structure has been confirmed after the addition of 5% Ce dopant. The crystallite size, cell volume, and particle size of the β-NiMoO4 seems to be minimal with maximum dislocation density compared to the prepared α-NiMoO4 samples. The initial nanospheres are clustered in different orientations to form different morphological structures. All the samples have been evaluated as electrodes for highly efficient electrochemical supercapacitors. The 5%-Ce doped NiMoO4 electrode has revealed an extraordinary supercapacitive performance showing excellent specific capacitance of 3101.12 Fg‐1 at 1 mA current with good retentivity of 97.65% after 5000 cycles in a three-electrode configuration, which is six times higher value than the prepared pristine NiMoO4 (478.78 Fg‐1). Besides, an asymmetric supercabattery device has been fabricated utilizing NiMoO4‐5% Ce electrode and activated carbon as positive and negative electrodes in a two-electrode configuration. It displayed a fascinating energy density of 29.2 W h kg−1 even at high current density of 5 mA. Prominently, the supercabatteries device showed an admirable 80.55% long-lasting cycling performance retained after 10,000 cycles.
科研通智能强力驱动
Strongly Powered by AbleSci AI