Multi-functional piezoelectric nanogenerator based on relaxor ferroelectric materials (BSTO) and conductive fillers (MWCNTs) for self-powered memristor and optoelectronic devices

纳米发生器 材料科学 能量收集 记忆电阻器 压电 铁电性 数码产品 光电子学 纳米技术 电介质 纳米复合材料 电子工程 电气工程 功率(物理) 复合材料 物理 工程类 量子力学
作者
Tupan Das,Piyali Biswas,Amar Dev,Jyotirekha Mallick,Manoranjan Kar
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:479: 147900-147900 被引量:40
标识
DOI:10.1016/j.cej.2023.147900
摘要

Nowadays self-charging memristors and photodetectors open the path for future research into energy-autonomous electronics which hold the promise of enabling exceptionally efficient applications in memory storage, small portable electronics, neuromorphic computing, and optoelectronics devices. Hence, in the recent era, much research work has been focused on the development of nanogenerators for technological applications. In this regard, the main aim of the present study is to develop a multi-functional piezoelectric nanogenerator based on relaxor ferroelectric materials having three-phase MWCNTs/BSTO/PVDF nanocomposites. BSTO and CNT fillers promote >80 % electroactive phase nucleation in PVDF, making it appropriate for piezoelectric energy harvesting devices. Incorporating conductive fillers (CNTs) and dielectric fillers (BSTO) into the PVDF matrix enhances the piezoelectric nanogenerator's dielectric, ferroelectric, and output performance. PENG based on an optimized BSTO-CNTs-PVDF composite (with 20 % BSTO and 0.20 % CNTs loading) produced an output power of 31.5 µW with a high open-circuit voltage of 42 V and a short-circuit current of 9 µA, it demonstrates enough capability to power up small portable electronic devices. This work can also be used for a realistic technique for generating self-powered memristors and photodetectors for extremely efficient memristive neural networks and optoelectronics devices. Demonstration of power generation of the prepared device by different activities is demonstrated.
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
刚刚
Island发布了新的文献求助10
1秒前
1秒前
酷波er应助滚筒洗衣机采纳,获得10
2秒前
充电宝应助pharmstudent采纳,获得10
2秒前
压垮稻草的最后一只骆驼完成签到,获得积分10
2秒前
123发布了新的文献求助10
2秒前
luyaw完成签到,获得积分10
3秒前
4秒前
molihuakai应助科研通管家采纳,获得10
4秒前
初景应助科研通管家采纳,获得20
4秒前
华仔应助科研通管家采纳,获得10
4秒前
4秒前
香蕉觅云应助科研通管家采纳,获得10
4秒前
kk关注了科研通微信公众号
4秒前
叶子666应助科研通管家采纳,获得30
4秒前
CipherSage应助冷静采纳,获得30
4秒前
4秒前
Hiki完成签到,获得积分10
4秒前
酷波er应助科研通管家采纳,获得10
4秒前
汉堡包应助科研通管家采纳,获得10
5秒前
李健应助科研通管家采纳,获得10
5秒前
情怀应助科研通管家采纳,获得10
5秒前
英姑应助科研通管家采纳,获得10
5秒前
愉快的真应助科研通管家采纳,获得30
5秒前
5秒前
lizishu应助owlhealth采纳,获得50
7秒前
7秒前
jawa完成签到 ,获得积分0
7秒前
qiuqiu完成签到,获得积分10
7秒前
molihuakai应助欣欣采纳,获得10
8秒前
8秒前
852应助Hao采纳,获得10
8秒前
FashionBoy应助Trentthe66采纳,获得10
8秒前
六月雪发布了新的文献求助10
9秒前
欧莫欧莫完成签到 ,获得积分10
9秒前
zzzrrr完成签到 ,获得积分10
10秒前
10秒前
11秒前
qiuqiu发布了新的文献求助10
11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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7407195
求助须知:如何正确求助?哪些是违规求助? 9011692
关于积分的说明 19192429
捐赠科研通 7040437
什么是DOI,文献DOI怎么找? 3232511
关于科研通互助平台的介绍 2394493
邀请新用户注册赠送积分活动 2214717