SnO2 induced electrostatic polarization PVDF composite nanofibers for efficient energy harvesting and self-powered wireless monitoring /motion recognition systems

纳米纤维 能量收集 复合数 极化(电化学) 无线 材料科学 光电子学 纳米技术 能量(信号处理) 计算机科学 复合材料 物理 电信 化学 物理化学 量子力学
作者
Bozhi Wu,Yongqiang Yang,Lei Wang,Hui Xu,Yuheng Huang,Jiahong Kang,Yuwei Xiong,Kuibo Yin,Meng Nie,Litao Sun
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:495: 153483-153483 被引量:5
标识
DOI:10.1016/j.cej.2024.153483
摘要

With the rapid development of the Internet of Things and flexible electronics, piezoelectric nanogenerators (PENGs) based on polyvinylidene fluoride (PVDF) have demonstrated a wide range of potential applications in wearable devices. However, there are still challenges in developing high-performance PENGs, which affect their potential applications in more scenarios. Herein, we propose a SnO2-PVDF (SP)-PENG based on low-cost and environment-friendly SnO2 nanoparticles modulated via electrospinning, achieving outstanding piezoelectric output performance. The piezoelectric output of SP-PENG is up to 49.2 V, which is 11.7 times higher than that of pure PVDF-PENG. From the theoretical perspective, the enhanced electrostatic polarization is achieved by the strengthened local electric field due to the presence of low-resistivity SnO2 in the SP fibers. The mechanism of enhanced electrostatic polarization is also declared by COMSOL simulation. Moreover, the SP-PENG exhibits excellent durability (41,600 cycles) and long-term stability (8 months). A self-powered wireless sensing-monitoring system is realized by combining SP-PENG with circuit design. The motion recognition system is accomplished by integrating an assistance of a 1D CNN-LSTM joint learning model, which is verified by an alphabetic handwriting recognition with a classification accuracy up to 100 %. This study provides significant insights for enhancing the performance of PENGs and offers valuable guidance for exploring the application of PENGs in flexible electronics and artificial intelligence.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
5秒前
桃子发布了新的文献求助30
5秒前
洪婉馨完成签到 ,获得积分20
6秒前
真的不想干活了完成签到,获得积分10
8秒前
123完成签到,获得积分10
10秒前
peiyy完成签到,获得积分10
10秒前
12秒前
13秒前
螺蛳粉完成签到,获得积分10
15秒前
16秒前
16秒前
追忆发布了新的文献求助10
17秒前
wuminru完成签到,获得积分10
19秒前
20秒前
Ava应助lzx采纳,获得10
21秒前
浮熙发布了新的文献求助10
22秒前
23秒前
24秒前
英姑应助追忆采纳,获得10
24秒前
25秒前
25秒前
25秒前
26秒前
zxx5313491完成签到,获得积分10
27秒前
fuxixixi发布了新的文献求助10
28秒前
28秒前
whisper发布了新的文献求助10
28秒前
hehe完成签到,获得积分10
28秒前
勤恳绝义发布了新的文献求助10
29秒前
29秒前
李琳赛发布了新的文献求助30
30秒前
香蕉觅云应助jinzhen采纳,获得10
30秒前
zxx5313491发布了新的文献求助10
31秒前
31秒前
闪闪的YOSH完成签到,获得积分10
32秒前
34秒前
34秒前
英俊的铭应助仂尤采纳,获得10
35秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3959179
求助须知:如何正确求助?哪些是违规求助? 3505472
关于积分的说明 11124101
捐赠科研通 3237190
什么是DOI,文献DOI怎么找? 1789003
邀请新用户注册赠送积分活动 871507
科研通“疑难数据库(出版商)”最低求助积分说明 802824