Electronic and optical properties of graphene and graphitic ZnO (G/g-ZnO) nanocomposites have been investigated with density functional theory. Graphene interacts overall weakly with g-ZnO monolayer via van der Waals interaction. There is no charge transfer between the graphene and g-ZnO monolayer, while a charge redistribution does happen within the graphene layer itself, forming well-defined electron-hole puddles. When Al or Li is doped in the g-ZnO monolayer, substantial electron (n-type) and hole (p-type) doping can be induced in graphene, leading to well-separated electron-hole pairs at their interfaces. Improved optical properties in graphene/g-ZnO nanocomposite systems are also observed, with potential photocatalytic and photovoltaic applications.
Skip Nav Destination
Article navigation
28 March 2013
Research Article|
March 28 2013
Electronic and optical properties of graphene and graphitic ZnO nanocomposite structures
Wei Hu;
Wei Hu
Hefei National Laboratory for Physical Sciences at Microscale, and Department of Chemical Physics,
University of Science and Technology of China
, Hefei, Anhui 230026, People's Republic of China
Search for other works by this author on:
Zhenyu Li;
Zhenyu Li
Hefei National Laboratory for Physical Sciences at Microscale, and Department of Chemical Physics,
University of Science and Technology of China
, Hefei, Anhui 230026, People's Republic of China
Search for other works by this author on:
Jinlong Yang
Jinlong Yang
a)
Hefei National Laboratory for Physical Sciences at Microscale, and Department of Chemical Physics,
University of Science and Technology of China
, Hefei, Anhui 230026, People's Republic of China
Search for other works by this author on:
a)
Author to whom correspondence should be addressed. Electronic mail: jlyang@ustc.edu.cn
J. Chem. Phys. 138, 124706 (2013)
Article history
Received:
January 15 2013
Accepted:
March 07 2013
Citation
Wei Hu, Zhenyu Li, Jinlong Yang; Electronic and optical properties of graphene and graphitic ZnO nanocomposite structures. J. Chem. Phys. 28 March 2013; 138 (12): 124706. https://doi.org/10.1063/1.4796602
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.