MXenes for electromagnetic interference shielding: Insights from structural design

电磁屏蔽 MXenes公司 电磁干扰 电磁干扰 材料科学 灵活性(工程) 电磁辐射 光电子学 电子工程 纳米技术 复合材料 光学 工程类 物理 数学 统计
作者
Hao Zhang,Jian‐Bo Wan,Ruiqing Wu,Yiyi Chen,Huangzhong Yu,Shengwei Shi
出处
期刊:Carbon [Elsevier BV]
卷期号:218: 118716-118716 被引量:39
标识
DOI:10.1016/j.carbon.2023.118716
摘要

The rapid development of modern electronic devices and communication technology has led to a significant increase in the pollution of electromagnetic wave radiation. Metals, such as copper, aluminum and nickel, were generally applied to reduce electromagnetic interference (EMI). However, with the increasing miniaturization of electronic devices, there is a growing demand for the flexibility and light-weight of shielding materials. Recently, MXene has received considerable attentions in EMI shielding due to its good conductivity, large specific surface area, light weight and excellent flexibility. Although good conductivity is beneficial to EMI shielding, the reflection of electromagnetic waves will bring about the secondary pollution. Thus the efficient absorption of electromagnetic waves inside the shielding materials is quite important to endow a green shielding, which can be realized through the design of MXene structures to enhance internal scattering. In this review, we reported the very recent progress of MXenes as EMI shielding materials from its structural design. Firstly, the fundamental theory of EMI shielding was discussed in depth with the focus on the impact factors and the evaluation systems. In the next, MXenes for EMI shielding are summarized with different structures including layer-by-layer and porous MXenes (foams, aerogels and hydrogels), in which the function and the design of internal scattering are carefully discussed from MXene structures. Finally, a conclusion and perspective is given to indicate current challenges and future directions in MXene-based EMI shielding.
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
Ava应助清茶采纳,获得10
刚刚
1秒前
1秒前
1秒前
2秒前
biiii完成签到,获得积分10
2秒前
Liu完成签到 ,获得积分0
3秒前
团团完成签到,获得积分10
3秒前
桃子爱学习完成签到,获得积分10
4秒前
缓慢怜菡应助cr7采纳,获得20
4秒前
4秒前
5秒前
yqcj59完成签到,获得积分10
5秒前
yyyyyyya发布了新的文献求助10
5秒前
6秒前
6秒前
yookia应助云止采纳,获得10
6秒前
8R完成签到 ,获得积分10
6秒前
基尼胎没完成签到,获得积分10
6秒前
Edison发布了新的文献求助10
6秒前
kcp发布了新的文献求助10
6秒前
6秒前
7秒前
万事屋发布了新的文献求助10
7秒前
在水一方应助shy采纳,获得10
7秒前
7秒前
斯文败类应助煜琪采纳,获得10
7秒前
7秒前
俊秀的以南完成签到 ,获得积分20
7秒前
fxx完成签到,获得积分10
7秒前
领导范儿应助勤奋的音响采纳,获得10
7秒前
充电宝应助zht采纳,获得10
8秒前
某某完成签到,获得积分20
8秒前
9秒前
丁庆亮发布了新的文献求助10
9秒前
yookia应助顺利的机器猫采纳,获得10
9秒前
十里完成签到,获得积分10
10秒前
Teng881完成签到,获得积分10
10秒前
槑槑关注了科研通微信公众号
10秒前
SciGPT应助Andy采纳,获得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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 6498994
求助须知:如何正确求助?哪些是违规求助? 8294713
关于积分的说明 17699974
捐赠科研通 5595283
什么是DOI,文献DOI怎么找? 2917814
邀请新用户注册赠送积分活动 1894905
关于科研通互助平台的介绍 1755642