All-Carbon Monolithic Composites from Carbon Foam and Hierarchical Porous Carbon for Energy Storage

超级电容器 材料科学 电容 电解质 碳纤维 复合材料 碳纳米泡沫 复合数 储能 多孔性 电导率 电极 纳米技术 物理 物理化学 量子力学 功率(物理) 化学
作者
Shijin Zhu,Markus Gruschwitz,Vasiliki Tsikourkitoudi,Dieter Fischer,Frank Simon,Christoph Tegenkamp,Michael Sommer,Soumyadip Choudhury
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:14 (39): 44772-44781 被引量:3
标识
DOI:10.1021/acsami.2c08524
摘要

We designed high-volumetric-energy-density supercapacitors from monolithic composites composed of self-standing carbon foam (CF) as the conducting matrix and embedded hierarchically organized porous carbon (PICK) as the active material. Using multiprobe scanning tunneling microscopy at selected areas, we were able to disentangle morphology-dependent contributions of the heterogeneous composite to the overall conductivity. Adding PICK is found to enhance the conductivity of the monoliths by providing additional links for the CF network, enabling high and stable performance. The resulting all-carbon CF–PICK composites were used as self-standing electrodes for symmetric supercapacitors without the need for a binder, additional conducting additive, metals as a current collector, or casting/drying steps. Supercapacitors achieved a capacitance of 181 F g–1 based on the entire mass of the monolithic electrode as well as an outstanding rate capability. Our symmetrical supercapacitors also delivered a record volumetric energy density of 19.4 mW h cm–3 when using aqueous electrolytes. Excellent cycling stability with almost quantitative retention of capacitance was found after 10,000 cycles in 6.0 M KOH as the electrolyte. Furthermore, charge–discharge testing at different currents demonstrated the fast charge–discharge capability of this material system that meets the requirements for practical applications.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
慵懒跑不动完成签到 ,获得积分10
1秒前
刻苦映波发布了新的文献求助10
2秒前
多发论文早毕业完成签到,获得积分10
2秒前
科研通AI6.1应助zhgj采纳,获得10
3秒前
饭饭发布了新的文献求助10
4秒前
顺利代曼发布了新的文献求助10
5秒前
6秒前
深情安青应助新人采纳,获得10
6秒前
7秒前
7秒前
科研通AI6.3应助多金多金采纳,获得10
7秒前
7秒前
7秒前
7秒前
gmaster完成签到,获得积分10
8秒前
如风发布了新的文献求助10
8秒前
赘婿应助zwenng采纳,获得10
9秒前
zyu应助Zzzj采纳,获得10
9秒前
不乖发布了新的文献求助10
10秒前
JamesPei应助yxh020807采纳,获得10
10秒前
10秒前
紧张的保温杯完成签到,获得积分10
11秒前
11秒前
斯文败类应助RAY1采纳,获得10
11秒前
11秒前
Bk发布了新的文献求助10
12秒前
Isaac发布了新的文献求助10
13秒前
13秒前
笨笨平松完成签到,获得积分10
13秒前
14秒前
刻苦映波完成签到,获得积分10
14秒前
科研通AI6.4应助喜洋洋采纳,获得10
14秒前
科研通AI6.1应助zhgj采纳,获得10
15秒前
傲娇迎南发布了新的文献求助20
15秒前
15秒前
16秒前
科研通AI6.1应助小帅采纳,获得10
16秒前
17秒前
何家欢乐发布了新的文献求助10
17秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364905
求助须知:如何正确求助?哪些是违规求助? 8178927
关于积分的说明 17239565
捐赠科研通 5420001
什么是DOI,文献DOI怎么找? 2867850
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692352