A review of performance optimization of MOF-derived metal oxide as electrode materials for supercapacitors

氧化物 超级电容器 材料科学 金属有机骨架 金属 石墨烯 电极 电容 纳米技术 化学工程 无机化学 复合材料 吸附 化学 冶金 有机化学 物理化学 工程类
作者
Shao-Rui Wu,Jingbing Liu,Hao Wang,Hui Yan
出处
期刊:International Journal of Energy Research [Wiley]
卷期号:43 (2): 697-716 被引量:179
标识
DOI:10.1002/er.4232
摘要

Metal-organic frameworks (MOFs), as new class of porous materials, are constructed by inorganic metal centers and bridging organic links. Recently, MOFs have been proved to be effective templates for preparing metal oxides with large surface areas and controlled shape by directly annealing in air. There are lots of reports about metal-organic framework-derived metal oxides as electrode materials for supercapacitors. Metal-organic framework-derived metal oxides can offer higher capacitances compared with that prepared by other synthetic methods, likely attribute to high surface areas and optimal pore sizes. However, at present, the specific capacitances of MOF-derived metal oxides received are far lower than theoretical values, and the cycle numbers could not meet practical demands. Accordingly, much effort has been made to improve the performance by further modifying MOFs. Thus, this paper focused on the advances in performance optimization of MOF-derived metal oxide as electrode materials for supercapacitors as follows: Dual metal MOF-derived binary metal oxides. Metal oxides with 2 metal cations possess better electrical conductivity and richer redox active sites than single metal oxides. Metal-organic framework-derived carbon/metal oxide composites (MO@C) or graphene/MOF-derived graphene/metal oxide composites. Doping carbon not only facilitate transportation of electrodes but also contribution to extra double-layer capacitance. Hybrid MOF-derived metal oxide composites (MO@MO). Metal oxide composites can produce some synergistic effects that the individuals cannot provide. Metal-organic framework-derived metal oxides with a hollow structure. The Hollow structure could shorten ion diffusion distance and adapt to volume expansion generated during the ion intercalated/extracted process.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
鱼莉完成签到,获得积分10
1秒前
Orange应助llg采纳,获得10
2秒前
英姑应助滴哒采纳,获得10
2秒前
shm发布了新的文献求助10
2秒前
3秒前
冷傲芷雪发布了新的文献求助10
4秒前
5秒前
情怀应助ccy采纳,获得10
5秒前
5秒前
6秒前
7秒前
安静的磬完成签到,获得积分10
7秒前
DRX发布了新的文献求助10
7秒前
daydayup发布了新的文献求助10
7秒前
只谈风月完成签到,获得积分10
8秒前
陶杨杨发布了新的文献求助10
8秒前
勤奋猎豹发布了新的文献求助30
10秒前
ding应助小郑开心努力采纳,获得10
10秒前
10秒前
科研通AI2S应助房山芙采纳,获得10
11秒前
11秒前
英姑应助tjfwg采纳,获得10
11秒前
ohh发布了新的文献求助10
12秒前
12秒前
aliime完成签到,获得积分10
13秒前
英俊的铭应助daydayup采纳,获得10
15秒前
常常发布了新的文献求助10
15秒前
隐形曼青应助LILIYI采纳,获得10
16秒前
sun发布了新的文献求助10
16秒前
万能图书馆应助陶杨杨采纳,获得10
17秒前
18秒前
18秒前
18秒前
重要千青完成签到,获得积分10
18秒前
19秒前
搜集达人应助小兔子乖乖采纳,获得10
19秒前
飞雪之舞完成签到,获得积分10
20秒前
20秒前
共享精神应助秒秒采纳,获得10
20秒前
高分求助中
The Data Economy: Tools and Applications 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
Mantiden - Faszinierende Lauerjäger – Buch gebraucht kaufen 600
PraxisRatgeber Mantiden., faszinierende Lauerjäger. – Buch gebraucht kaufe 600
A Dissection Guide & Atlas to the Rabbit 600
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3120210
求助须知:如何正确求助?哪些是违规求助? 2770892
关于积分的说明 7705676
捐赠科研通 2426002
什么是DOI,文献DOI怎么找? 1288370
科研通“疑难数据库(出版商)”最低求助积分说明 620949
版权声明 600010