材料科学
纳米复合材料
超级电容器
非阻塞I/O
电容
循环伏安法
结晶度
化学工程
傅里叶变换红外光谱
X射线光电子能谱
纳米技术
电极
分析化学(期刊)
复合材料
电化学
有机化学
物理化学
化学
催化作用
工程类
作者
Mohamed Rabia,Asma M Esayed,Fatemah H. Alkallas,Amira Ben Gouider Trabelsi
出处
期刊:Physica Scripta
[IOP Publishing]
日期:2024-05-30
卷期号:99 (7): 075954-075954
被引量:2
标识
DOI:10.1088/1402-4896/ad5254
摘要
Abstract A novel ring-shaped NiS-poly-2-aminothiophenol NiO (NiS-P2ATP/NiO) core–shell nanocomposite has been successfully synthesized and extensively analyzed, presenting itself as a promising material for a two-electrode configuration pseudo-supercapacitor, tested in both basic and acidic mediums. The SEM analysis reveals the construction of open-ring shapes, characterized by a wall thickness of approximately 120 nm and a height of around 100 nm. To confirm the elements and crystallinity behavior of this nanocomposite, XPS and XRD analyses are used, while FTIR is performed to confirm the functional groups. The electrical properties of this nanocomposite were thoroughly investigated through various techniques, including charge/discharge, cyclic voltammetry, and EIS. The efficiency of the fabricated supercapacitor was assessed through measured specific capacitance (C S ), energy density (E), power density (P), Ragone plot, and the values of R S and R CT resistances. The specific capacitance value is significantly higher at 59.8 F g −1 compared to the basic medium’s C S value of 30 F g −1 . In the acidic medium, the E values reached 5.0 W h kg −1 , while in the basic electrolyte, it amounted to 2.5 W h kg −1 . The produced P achieved impressive values, reaching 28800 and 28700 W kg −1 at 0.2 A g −1 in the acidic and basic mediums, correspondingly. The unique behavior of this novel composite suggests its potential for industrial applications of polymer materials, given its ease of preparation, mass production feasibility, and cost-effectiveness. The findings of this study open doors for the practical implementation of such innovative materials in energy storage technologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI