Boosting Thermoelectric Power Factor of Carbon Nanotube Networks with Excluded Volume by Co-embedded Microparticles

碳纳米管 材料科学 热电效应 纳米技术 功率因数 聚二甲基硅氧烷 塞贝克系数 量子隧道 复合材料 微尺度化学 复合数 光电子学 功率(物理) 热导率 数学 物理 数学教育 热力学 量子力学
作者
Oluwasegun Isaac Akinboye,Yu Zhang,Vamsi Krishna Reddy Kondapalli,Vesselin Shanov,Je‐Hyeong Bahk
出处
期刊:Cornell University - arXiv
标识
DOI:10.48550/arxiv.2209.08661
摘要

Carbon nanotube (CNTs) networks embedded in polymer matrix have been extensively studied over the recent years as a flexible thermoelectric (TE) transport medium. However, their power factor has been largely limited by the relatively inefficient tunneling transport at junctions between CNTs and the low density of conducting channels through the networks. In this work, we demonstrate that significant enhancement of power factor is possible by adding electrically insulating microscale particles in CNT networks. When silica particles of a few micrometer diameters were co-embedded in single-walled CNT-polydimethylsiloxane (PDMS) composites, both the electrical conductivity and the Seebeck coefficient were simultaneously enhanced, thereby boosting the power factor by more than a factor of six. We find that the silica microparticles excluded a large volume of the composite from the access of CNTs and caused CNT networks to form around them using the polymer as a binder, which in turn resulted in improved connectivity and alignment of CNTs. Our theoretical calculations based on junction tunneling transport show that the large power factor enhancement can be attributed to the enhanced tunneling with reduced junction distance between CNTs and the increased geometric factor due to better CNT alignment. Additional enhancement of power factor by more than a factor of two was achieved by sample compression due to the further improvement of CNT alignment.

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
miss完成签到,获得积分10
1秒前
hu完成签到 ,获得积分10
2秒前
mathmotive完成签到,获得积分10
3秒前
白大褂完成签到,获得积分10
4秒前
4秒前
4秒前
小马甲应助孙淳采纳,获得10
6秒前
6秒前
科研通AI5应助二二二采纳,获得10
6秒前
赘婿应助尘林采纳,获得10
7秒前
HPP123完成签到,获得积分10
9秒前
10秒前
YYJ25发布了新的文献求助10
11秒前
liyuchen发布了新的文献求助10
11秒前
侦察兵发布了新的文献求助10
11秒前
13秒前
Owen应助TT采纳,获得10
13秒前
kid1912发布了新的文献求助50
13秒前
孙淳发布了新的文献求助10
17秒前
18秒前
18秒前
伯赏诗霜发布了新的文献求助10
18秒前
19秒前
19秒前
程哲瀚完成签到,获得积分10
19秒前
Brennan完成签到,获得积分10
20秒前
21秒前
21秒前
笨笨善若发布了新的文献求助10
22秒前
22秒前
23秒前
樘樘完成签到,获得积分10
23秒前
一个有点长的序完成签到 ,获得积分10
24秒前
孙淳完成签到,获得积分10
25秒前
25秒前
YYJ25发布了新的文献求助10
26秒前
Jzhang应助tmpstlml采纳,获得10
27秒前
微笑的南露完成签到 ,获得积分10
27秒前
豌豆关注了科研通微信公众号
27秒前
30秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527998
求助须知:如何正确求助?哪些是违规求助? 3108225
关于积分的说明 9288086
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540195
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849