Polymer Nanocomposites with Interpenetrating Gradient Structure Exhibiting Ultrahigh Discharge Efficiency and Energy Density

材料科学 电介质 钛酸钡 聚合物纳米复合材料 复合材料 聚合物 氮化硼 纳米复合材料 陶瓷 光电子学
作者
Jianyong Jiang,Zhonghui Shen,Xingke Cai,Jianfeng Qian,Zhenkang Dan,Yuanhua Lin,Bilu Liu,Ce‐Wen Nan,Long‐Qing Chen,Yang Shen
出处
期刊:Advanced Energy Materials [Wiley]
卷期号:9 (15) 被引量:194
标识
DOI:10.1002/aenm.201803411
摘要

Abstract Poly(vinylidene fluoride) (PVDF) based polymer nanocomposites with high‐permittivity nanofillers exhibit outstanding dielectric energy storage performance due to their high dielectric permittivities and breakdown strength. However, their discharge efficiency is relatively low (usually lower than 70%), which limits their practical applications. Here, polymer nanocomposites with a novel interpenetrating gradient structure are designed and demonstrated by cofilling a PVDF matrix with barium zirconate titanate nanofibers and hexagonal boron nitride nanosheets via modified nonequilibrium processing. The interpenetrating gradient structure is highly effective in breaking the trade‐off between discharge energy density and efficiency of the corresponding nanocomposite, as indicated by the concomitantly enhanced discharge energy density ( U e ≈ 23.4 J cm −3 ) and discharge efficiency (η ≈ 83%). The superior performance is primarily attributed to the rational distribution of nanofillers in the polymer matrix, which raises the height of the potential barrier for charge injection at the dielectric/electrode interface, suppresses electric conduction and contributes to enhanced apparent breakdown strength. Meanwhile, the gradient configuration allows higher volume fraction of high‐permittivity nanofillers without compromising the breakdown strength, leading to higher electric polarization compared with the random configuration. This work provides new opportunities to PVDF‐based polymer nanocomposites with high energy density and discharge efficiency for capacitive energy storage applications.
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
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
add发布了新的文献求助10
2秒前
小吕不到一米八完成签到 ,获得积分10
2秒前
3秒前
感恩有你发布了新的文献求助20
3秒前
Damiao完成签到,获得积分10
3秒前
Leexxxhaoo发布了新的文献求助10
3秒前
独特乘云发布了新的文献求助10
3秒前
mt发布了新的文献求助10
4秒前
领导范儿应助高挑的宛海采纳,获得10
4秒前
老木虫发布了新的文献求助10
4秒前
5秒前
7秒前
Yallabo完成签到,获得积分10
7秒前
yihanghh完成签到 ,获得积分10
8秒前
8秒前
8秒前
9秒前
9秒前
广东荔枝发布了新的文献求助10
11秒前
Makubes发布了新的文献求助10
11秒前
livesey完成签到,获得积分10
11秒前
独特乖乖完成签到 ,获得积分10
12秒前
啦啦啦发布了新的文献求助20
12秒前
王二蛋完成签到,获得积分10
13秒前
淡然的依琴完成签到,获得积分10
13秒前
13秒前
14秒前
天天发布了新的文献求助10
14秒前
搜集达人应助Kidom采纳,获得10
14秒前
Hsien应助国产好人采纳,获得10
14秒前
15秒前
ch完成签到 ,获得积分10
17秒前
Hsien应助国产好人采纳,获得10
17秒前
17秒前
易易发布了新的文献求助10
17秒前
lin完成签到 ,获得积分10
17秒前
认真的马里奥应助丰丰采纳,获得60
18秒前
19秒前
hhdr完成签到 ,获得积分10
21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 6365493
求助须知:如何正确求助?哪些是违规求助? 8179396
关于积分的说明 17241387
捐赠科研通 5420504
什么是DOI,文献DOI怎么找? 2868014
邀请新用户注册赠送积分活动 1845172
关于科研通互助平台的介绍 1692636