Tensile Mechanical Properties and Edge Defect-Driven Degradation in Bilayer Graphene

材料科学 石墨烯 极限抗拉强度 降级(电信) 复合材料 双层 GSM演进的增强数据速率 纳米技术 电子工程 计算机科学 遗传学 电信 生物 工程类
作者
Ting Su,Chao Rong,Yabin Yan,Fu‐Zhen Xuan
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
标识
DOI:10.1021/acsami.5c12544
摘要

Bilayer graphene attracts significant attention due to its unique electronic structure and excellent physical properties, with its mechanical performance being crucial for understanding deformation mechanisms and assessing application reliability. The mechanical properties of bilayer graphene measured by atomic force microscopy currently exhibit considerable scatter and show clear deviations from theoretical predictions. In situ tensile testing is widely regarded as a more reliable and authoritative approach for evaluating the mechanical properties of two-dimensional materials. Accordingly, the Young's modulus of bilayer graphene is measured to be 873.80 ± 12.68 GPa using a push-to-pull device inside a scanning electron microscope, which is close to the theoretical value. Moreover, the integration of bilayer graphene into device architectures requires micro/nanoscale patterning and shaping, which inevitably introduces edge defects. However, it remains experimentally challenging to precisely control the concentration of these edge defects. To address these limitations, a combined approach of molecular dynamics simulations and machine learning was employed to systematically uncover the effects of edge defects on the mechanical behavior of bilayer graphene. This study provides a theoretical foundation for a deeper understanding and optimization of the mechanical behavior of bilayer graphene, thereby laying important groundwork for its application in microelectronic devices.
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
隐形曼青应助幸福广山采纳,获得10
1秒前
1秒前
在水一方应助s1kl采纳,获得10
1秒前
1秒前
WWT完成签到,获得积分20
1秒前
goKR发布了新的文献求助10
1秒前
cwt完成签到 ,获得积分10
2秒前
大模型应助tokita采纳,获得10
2秒前
大模型应助顾长生采纳,获得10
2秒前
3秒前
华仔应助冷酷的靖荷采纳,获得10
3秒前
1231发布了新的文献求助10
3秒前
4秒前
cc发布了新的文献求助10
4秒前
Yuan发布了新的文献求助10
6秒前
烟花应助时尚半仙采纳,获得10
6秒前
zlk发布了新的文献求助10
6秒前
7秒前
隐形香水完成签到,获得积分10
7秒前
7秒前
此时此刻完成签到,获得积分10
8秒前
Weiyu完成签到 ,获得积分10
8秒前
科研通AI6.2应助WWT采纳,获得10
9秒前
123发布了新的文献求助10
9秒前
9秒前
麦麦发布了新的文献求助30
9秒前
9秒前
yimengze发布了新的文献求助10
10秒前
打打应助Yuan采纳,获得30
10秒前
意面完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
自信的伊完成签到,获得积分20
11秒前
12秒前
12秒前
英姑应助1233211234567采纳,获得10
13秒前
v0id应助张宇采纳,获得10
13秒前
yiyi发布了新的文献求助30
14秒前
科研白白发布了新的文献求助10
14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
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7731386
求助须知:如何正确求助?哪些是违规求助? 9282527
关于积分的说明 20152166
捐赠科研通 7308731
什么是DOI,文献DOI怎么找? 3303672
关于科研通互助平台的介绍 2456490
邀请新用户注册赠送积分活动 2312365