Abstract

The unique and outstanding electrical and optical properties of graphene make it a potential material to be used in the construction of high-performance photosensors. However, the fabrication process of a graphene photosensor is usually complicated and the size of the device also is restricted to micrometer scale. In this work, we report large-area photosensors based on reduced graphene oxide (rGO) implemented with Ag nanoparticles (AgNPs) via a simple and cost-effective method. To further optimize the performance of photosensors, the absorbance and distribution of the electrical field intensity of graphene with AgNPs was simulated using the finite-difference time-domain (FDTD) method through use of the surface plasmon resonance effect. Based on the simulated results, we constructed photosensors using rGO with 60–80 nm AgNPs and analyzed the characteristics at room temperature under white-light illumination for outdoor environment applications. The on/off ratio of the photosensor with AgNPs was improved from 1.166 to 9.699 at the bias voltage of −1.5 V, which was compared as a sample without AgNPs. The proposed photosensor affords a new strategy to construct cost-effective and large-area graphene films which raises opportunities in the field of next-generation optoelectronic devices operated in an outdoor environment.

Details

Title
White-Light Photosensors Based on Ag Nanoparticle-Reduced Graphene Oxide Hybrid Materials
Author
Wei-Chen, Tu 1   VIAFID ORCID Logo  ; Xiang-Sheng, Liu 1 ; Shih-Lun, Chen 1   VIAFID ORCID Logo  ; Ming-Yi, Lin 2 ; Wu-Yih Uen 1 ; Yu-Cheng, Chen 3 ; Yu-Chiang, Chao 4 

 Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan 
 Department of Electrical Engineering, National United University, Miaoli 36003, Taiwan 
 School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore 
 Department of Physics, National Taiwan Normal University, Taipei 10610, Taiwan 
First page
655
Publication year
2018
Publication date
2018
Publisher
MDPI AG
e-ISSN
2072666X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2582827268
Copyright
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.