Mechanical and Electrical Conductivity Properties of Graphene/Cu Interfaces: A Theoretical Insight

材料科学 石墨烯 电阻率和电导率 电导率 纳米技术 物理化学 电气工程 化学 工程类
作者
Boyu Xue,Wei Xiao,Guolin Wan,Lunwei Yang,Haofeng Xie,Ligen Wang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:16 (42): 57524-57533
标识
DOI:10.1021/acsami.4c12416
摘要

For graphene/copper (Gr/Cu) composites, achieving high-quality interfaces between Gr and Cu (strong interfacial bonding strength and excellent electron transport performance) is crucial for enabling their widespread applications in electronic devices. This study employs first-principles calculations and the nonequilibrium Green's function method to systematically investigate the mechanical and electrical conductivity properties of Cu(111)/Gr/Cu(111) interfaces with various stacking sequences and different forms of Gr. For these interface systems, the binding energy, separation work, charge transfer, and electrical conductivity across the interface were obtained. The results show that the top-fcc interface exhibits superior interfacial properties, characterized by relatively high binding energy (−3.00 eV/C atom) and separation work (≥0.78 J/m2), a small interfacial distance (2.85 Å), and enhanced electron transport capacity (2.12 G0/nm2). A bilayer form of Gr significantly reduces electronic conductance across the Gr/Cu interface by nearly 2.46 orders of magnitude. Furthermore, point defects in Gr, especially single-vacancy defects, disrupt the traditional trade-offs between mechanical and electrical performance, simultaneously enhancing mechanical performance by 7.50–124.36% and electrical performance by 33.02%. Additionally, stress mechanisms have been proposed to further enhance the interfacial electrical conductivity of Gr/Cu composites. The present study provides a theoretical basis for exploring the engineering applications of Gr/Cu composite materials.
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
1秒前
1秒前
汉堡包应助guochrn采纳,获得10
2秒前
2秒前
2秒前
忆彡发布了新的文献求助10
2秒前
王讯完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
5秒前
zzz发布了新的文献求助10
5秒前
谢123发布了新的文献求助10
8秒前
9秒前
sadscv发布了新的文献求助10
9秒前
无花果应助望海潮采纳,获得10
11秒前
科研通AI5应助qiany采纳,获得10
13秒前
pompom应助小胖子采纳,获得10
14秒前
wx发布了新的文献求助10
14秒前
快乐小熊完成签到,获得积分10
14秒前
16秒前
20秒前
20秒前
酷波er应助daihq3采纳,获得10
20秒前
NIKI完成签到 ,获得积分10
20秒前
21秒前
22秒前
wxx完成签到,获得积分20
23秒前
23秒前
明亮又晴完成签到 ,获得积分10
23秒前
24秒前
700w完成签到 ,获得积分0
25秒前
闫伟发布了新的文献求助50
26秒前
宫城发布了新的文献求助10
26秒前
菜狗一只啊完成签到,获得积分10
26秒前
李金奥完成签到 ,获得积分10
27秒前
Anthonywll完成签到 ,获得积分10
28秒前
29秒前
tianmj完成签到,获得积分10
32秒前
小冲发布了新的文献求助10
34秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3736445
求助须知:如何正确求助?哪些是违规求助? 3280295
关于积分的说明 10019302
捐赠科研通 2996923
什么是DOI,文献DOI怎么找? 1644338
邀请新用户注册赠送积分活动 781922
科研通“疑难数据库(出版商)”最低求助积分说明 749638