4.6 Article

Low-temperature low-power PECVD synthesis of vertically aligned graphene

期刊

NANOTECHNOLOGY
卷 31, 期 39, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-6528/ab9b4a

关键词

VGNs; PECVD; Raman; XPS; NEXAFS

资金

  1. French Research Agency through the project ANR PlasBioSens
  2. Region Centre through the project APR Capt'eau
  3. Slovenian Research Agency [N2-0091]
  4. European Union's Horizon 2020 research and innovation program [PEGASUS H2020-FETOPEN-01-2016-201-RIA 766894]
  5. [17205612ST/R]
  6. [17206156ST]
  7. [18106986ST]
  8. [191-07892-ST/R]
  9. [191-08281 ST/R]

向作者/读者索取更多资源

The need for 2D vertical graphene nanosheets (VGNs) is driven by its great potential in diverse energy, electronics, and sensor applications, wherein many cases a low-temperature synthesis is preferred due to requirements of the manufacturing process. Unfortunately, most of today's known methods, including plasma, require either relatively high temperatures or high plasma powers. Herein, we report on a controllable synthesis of VGNs at a pushed down low-temperature boundary for synthesis, the low temperatures (450 degrees C) and low plasma powers (30 W) using capacitively coupled plasma (CCP) driven by radio-frequency power at 13.56 MHz. The strategies implemented also include unrevealing the role of Nickel (Ni) catalyst thin film on the substrates (Si/Al). It was found that the Ni catalyst on Si/Al initiates the nucleation/growth of VGNs at 450 degrees C in comparison to the substrates without Ni catalyst. With increasing temperature, the graphene nanosheets become bigger in size, well-structured and well separated. The role of Ni catalysts is hence to boost the growth rate, density, and quality of the growing VGNs. Furthermore, this CCP method can be used to synthesize VGNs at the lowest temperatures possible so far on a variety of substrates and provide new opportunities in the practical application of VGNs.

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

4.6
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