Flexible and mechanically strong MXene/cellulose-lamellae sheets for electromagnetic interference shielding

材料科学 复合材料 MXenes公司 极限抗拉强度 电磁屏蔽 韧性 微观结构 纳米技术
作者
Yushan Yang,Kaicong Chen,Baokang Dang,Chao Wang,Yipeng Chen,Ming Liu,Yingying Li,Xiaochun Zhang,Qingfeng Sun
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:468: 143661-143661 被引量:11
标识
DOI:10.1016/j.cej.2023.143661
摘要

MXene, two-dimensional layered transition metal carbides, nitride, or carbonitrides, have shown promise for ultrahigh electromagnetic interference (EMI) shielding in flexible electronics and aerospace due to their intrinsic metallic conductivity and mechanical strength. However, weak interfacial interactions, void microstructure defects, and oxidative degradation can leave MXene sheets in a thermodynamically metastable state, resulting in poor EMI shielding and mechanical strength. Herein, we utilized abundant hydrogen-bonded ultrafine cellulose lamella (UCL) to sequentially bridging induced densification of MXene nanosheets. This resulted in improved the tensile strength, toughness, oxidative stability, resistance to ultrasonic decomposition, and super-foldable conductivity of MXene sheets. The resulting MXene@UCL sheets (MXCS) exhibited high electrical conductivity of up to 7649 S cm−1 and ultrahigh weight-normalized shielding efficiency (SSE/t, 53003.45 dB∙cm2 g−1), making them mechanically strong and highly conductive. The MXCS material has a tensile modulus of up to 10.9 ± 0.7 GPa and provides excellent weight-normalized shielding efficiency. Simultaneously, it is capable of enduring 100,000 repetitions of folding without experiencing any damage to its construction or fluctuations in conductivity. Furthermore, high-strength scalable MXCS sheets can be produced using doctor blade casting, commercial resin bonding, and aerogel calendering methods, without compromising their performance. This has significant scientific and practical application potential.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
Danboard完成签到,获得积分20
刚刚
空城sniper发布了新的文献求助10
1秒前
寒冷的莫茗完成签到,获得积分10
1秒前
1秒前
2秒前
共享精神应助阿楷采纳,获得10
2秒前
2秒前
3秒前
田様应助颜千琴采纳,获得10
3秒前
田様应助淡然安雁采纳,获得10
3秒前
烟花应助木头杨采纳,获得10
3秒前
hhh关注了科研通微信公众号
3秒前
6秒前
苹果紫萱完成签到,获得积分10
6秒前
豆子发布了新的文献求助10
7秒前
7秒前
8秒前
科研通AI2S应助KX2024采纳,获得10
8秒前
开朗钻石完成签到 ,获得积分10
10秒前
JYZ完成签到,获得积分10
10秒前
11秒前
11秒前
12秒前
酷波er应助upupup采纳,获得10
12秒前
秦嘉旎完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
NexusExplorer应助Madge采纳,获得30
15秒前
15秒前
15秒前
15秒前
田様应助科研通管家采纳,获得10
16秒前
所所应助王小宝采纳,获得10
16秒前
wqq应助科研通管家采纳,获得10
17秒前
赘婿应助科研通管家采纳,获得10
17秒前
彭于晏应助科研通管家采纳,获得10
17秒前
爆米花应助科研通管家采纳,获得10
17秒前
Ava应助科研通管家采纳,获得10
17秒前
真理完成签到,获得积分10
17秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135928
求助须知:如何正确求助?哪些是违规求助? 2786670
关于积分的说明 7779194
捐赠科研通 2442969
什么是DOI,文献DOI怎么找? 1298748
科研通“疑难数据库(出版商)”最低求助积分说明 625219
版权声明 600870