4.8 Article

Highly Stretchable and Reliable, Transparent and Conductive Entangled Graphene Mesh Networks

期刊

ADVANCED MATERIALS
卷 30, 期 3, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.201704626

关键词

electrical reliability; entangled graphene mesh networks; environmental robustness; mechanical durability; stretchable devices

资金

  1. Ministry of Science and ICT (MSIT), Korea under the ICT Consilience Creative Program [IITP-2017-2017-0-01015]
  2. Ministry of Science and ICT (MSIT), Korea under the Mid-career Researcher Program [NRF-2016R1A2B2014612]

向作者/读者索取更多资源

A highly stretchable and reliable, transparent and conductive entangled graphene mesh network (EGMN) exhibits an interconnected percolation network, as usually shown in 1D nanowires, but with the electrical, mechanical, and thermal properties of 2D graphene. The unique combination of the 2D material properties and the network structure of wrinkled, waved, and crumpled graphene enables the EGMN to demonstrate excellent electrical reliability, mechanical durability, and thermal stability, even under harsh environmental and external conditions such as very high temperature, humidity, bending, and stretching. Specifically, after 100 000 cycles of bending with radius of 2 mm, the EGMN maintains its resistance similar to its initial value. The EGMN shows a steady monotonic response in resistance to strain cycles of 50 000 times with nearly constant gauge factors of 0.76, 1.67, and 2.55 at 10%, 40%, and 70% strains, respectively. Moreover, the EGMN shows very little change in resistance with the temperature increasing up to 1000 degrees C, by in situ thermal analysis with transmission electron microscopy and also by long-term stability testing at 70 degrees C and 70% relative humidity for 30 d. These results demonstrate that this novel entangled graphene mesh network can significantly broaden the application areas for various types of wearable and stretchable devices.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据