Your browser doesn't support javascript.
loading
Fluorobenzene and Water-Promoted Rapid Growth of Vertical Graphene Arrays by Electric-Field-Assisted PECVD.
Shen, Chao; Xu, Shichen; Chen, Zhuo; Ji, Nannan; Yang, Jinhui; Zhang, Jin.
  • Shen C; College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, 750021, P. R. China.
  • Xu S; Beijing Graphene Institute (BGI), Beijing, 100095, P. R. China.
  • Chen Z; Beijing Graphene Institute (BGI), Beijing, 100095, P. R. China.
  • Ji N; College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, P. R. China.
  • Yang J; Beijing Graphene Institute (BGI), Beijing, 100095, P. R. China.
  • Zhang J; Beijing Graphene Institute (BGI), Beijing, 100095, P. R. China.
Small ; 19(10): e2207745, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36650988
ABSTRACT
Vertical graphene (VG) arrays show exposed sharp edges, ultra-low electrical resistance, large surface-to-volume ratio, and low light reflectivity, thus having great potential in emerging applications, including field emission, sensing, energy storage devices, and stray light shields. Although plasma enhanced chemical vapor deposition (PECVD) is regarded as an effective approach for the synthesis of VG, it is still challenging to increase the growth rate and height of VG arrays simultaneously. Herein, a fluorobenzene and water-assisted method to rapidly grow VG arrays in an electric field-assisted PECVD system is developed. Fluorobenzene-based carbon sources are used to produce highly electronegative fluorine radicals to accelerate the decomposition of methanol and promote the growth of VG. Water is applied to produce hydroxyl radicals in order to etch amorphous carbon and accelerate the VG growth. The fastest growth rate can be up to 15.9 µm h-1 . Finally, VG arrays with a height of 144 µm are successfully synthesized at an average rate of 14.4 µm h-1 . As a kind of super black material, these VG arrays exhibit an ultra-low reflectance of 0.25%, showing great prospect in stray light shielding.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article