4.8 Article

Large-Scale Synthesis of High-Quality Hexagonal Boron Nitride Nanosheets for Large-Area Graphene Electronics

期刊

NANO LETTERS
卷 12, 期 2, 页码 714-718

出版社

AMER CHEMICAL SOC
DOI: 10.1021/nl203635v

关键词

Hexagonal boron nitride nanosheets; chemical vapor deposition; morphology control; large-scale synthesis; chemical polishing; graphene device

资金

  1. National Research Foundation of Korea (NRF)
  2. Ministry of Education, Science and Technology (MEST) [2010-00297, 2010-0015035]
  3. NRF
  4. Global Frontier Research Center for Advanced Soft Electronics through the NRF
  5. Sungkyunkwan University
  6. National Research Foundation of Korea [2010-00297, 2011-0031659] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Hexagonal boron nitride (h-BN) has received a great deal of attention as a substrate material for high-performance graphene electronics because it has an atomically smooth surface, lattice constant similar to that of graphene, large optical phonon modes, and a large electrical band gap. Herein, we report the large-scale synthesis of high-quality h-BN nanosheets in a chemical vapor deposition (CVD) process by controlling the surface morphologies of the copper (Cu) catalysts. It was found that morphology control of the Cu foil is much critical for the formation of the pure h-BN nanosheets as well as the improvement of their crystallinity. For the first time, we demonstrate the performance enhancement of CVD-based graphene devices with large-scale h-BN nanosheets. The mobility of the graphene device on the h-BN nanosheets was increased 3 times compared to that without the h-BN nanosheets. The on off ratio of the drain current is 2 times higher than that of the graphene device without h-BN. This work suggests that high-quality h-BN nanosheets based on CVD are very promising for high-performance large-area graphene electronics.

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