Reduction of 1/f Noise in Single-Walled Carbon Nanotubes (SWCNTs) Using Gas Adsorption Technique

碳纳米管 吸附 纳米管 硝酸 杂质 分析化学(期刊) 化学 材料科学 纳米技术 无机化学 有机化学
作者
L. Natrayan,S. Angalaeswari,S. Kaliappan,Naga Dheeraj Kumar Reddy Chukka,V. Sivaprakash,Pravin P. Patil,P. Murugan
出处
期刊:Adsorption Science & Technology [SAGE Publishing]
卷期号:2022 被引量:21
标识
DOI:10.1155/2022/3244702
摘要

Single-walled carbon nanotube (SWCNT) plays a major role in electromagnetic absorption and shielding. Their applications as semiconductors make a breakthrough in communication by miniaturizing the communication devices. The main drawback of the SWCNT is found to [Formula: see text] noise. Because of this limitation, high attenuation at the low-frequency band cannot be achieved, limiting its application in terms of selectivity. The spectral density study shows that the noise’s amplitude is directly proportional to the temperature and inversely proportional to the number of carriers in the nanotube. The SWCNT is mainly synthesized using hydrocarbons which contains carbonaceous impurities. On the removal of impurities, more surface oxygen functional groups are formed. On the other hand, the diameter of the carbon nanotube is very small, increasing the resistance of carrier flow. In this research work, gas adsorption was used in SWCNT by treating the carbon nanotube using nitric acid. Isotherms determine porous size. The adsorbate-adsorbent interaction on carbon nanotube reduces the microporosity in the surface by treating with nitric acid. Therefore, the density of the surface increases and the CNT bundle separation will be reduced, increasing the carbon nanotube’s resistivity. This increase in resistivity reduces the excess carrier flow; therefore, the temperature will reduce the [Formula: see text] noise. The proposed system is cost-effective and has shown 11% improvement by reducing the noise amplitude by increasing carbon nanotube resistance. This proposed method has less complexity compared with existing models.

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
CC完成签到,获得积分10
刚刚
quzhenzxxx发布了新的文献求助20
刚刚
开心市民小刘完成签到,获得积分10
1秒前
刘丽梅完成签到 ,获得积分0
1秒前
林林林林完成签到,获得积分10
2秒前
天真南松完成签到,获得积分10
2秒前
小圆子完成签到,获得积分10
3秒前
yunt完成签到 ,获得积分10
3秒前
wennuan0913完成签到 ,获得积分10
3秒前
rain完成签到,获得积分10
4秒前
zyj完成签到,获得积分10
5秒前
勤恳问薇完成签到 ,获得积分10
5秒前
Nam楠完成签到,获得积分10
5秒前
liuyao完成签到,获得积分10
6秒前
大方树叶完成签到,获得积分10
6秒前
6秒前
Ftplanet完成签到,获得积分10
7秒前
大漠苍狼完成签到,获得积分10
7秒前
123完成签到,获得积分10
8秒前
8秒前
儒雅的渊思完成签到,获得积分10
8秒前
二甲亚砜2022完成签到,获得积分10
8秒前
exquisite完成签到,获得积分0
8秒前
9秒前
li完成签到,获得积分10
11秒前
悄悄完成签到,获得积分10
11秒前
小徐完成签到 ,获得积分10
12秒前
豆子完成签到,获得积分10
12秒前
衢夭完成签到,获得积分10
13秒前
zhaozhao完成签到,获得积分10
13秒前
Sunflower完成签到,获得积分10
14秒前
15秒前
阿狸a完成签到,获得积分10
16秒前
CDI和LIB完成签到,获得积分10
16秒前
科研通AI6.3应助pain采纳,获得10
18秒前
DearG完成签到,获得积分10
18秒前
Vincent完成签到,获得积分10
19秒前
19秒前
乔翼娇完成签到 ,获得积分10
20秒前
20秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
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
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 7529842
求助须知:如何正确求助?哪些是违规求助? 9115659
关于积分的说明 19469053
捐赠科研通 7130347
什么是DOI,文献DOI怎么找? 3256148
关于科研通互助平台的介绍 2423895
邀请新用户注册赠送积分活动 2243712