Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • JSAP-OSA Joint Symposia 2015 Abstracts
  • (Optica Publishing Group, 2015),
  • paper 15a_2D_4

Optical properties of Cu2ZnSnS4 decorated reduced graphene oxide nanocomposites

Not Accessible

Your library or personal account may give you access

Abstract

Two-dimensional (2D) composite nanostructures have received considerable attention for use in future ultrathin photodetectors. Hybrid 2D materials grown on graphene possess excellent dimensional-dependent properties, like low-cost fabrication and an environmentally friendly nature. Recently, semiconductor/graphene hybrid composite preparations are in development to enhance the light detection properties of graphene-related materials.[1] Cu2ZnSnS4 (CZTS) is a p-type material with a direct band gap energy of ~ 1–1.6 eV and high absorption coefficient (~104 cm−1). CZTS nanoparticles are potential materials for photodetecting applications.[2] In this article, we report the functionalization of a CZTS NP-decorated reduced graphene oxide (rGO) hybrid nanocomposite and their absorption properties were measured.

© 2015 Japan Society of Applied Physics, Optical Society of America

PDF Article
More Like This
Effects of metal precursors to the compositional and structural properties of Cu2ZnSnS4 nanoparticles

Wangsheng Gao, Meng Cao, Qing Zhang, Jian Huang, Yan Sun, Linjun Wang, and Yue Shen
JTu5A.11 Optical Nanostructures and Advanced Materials for Photovoltaics (SOLED) 2015

Effect of Zinc precursor to the physical properties of electrodeposited Cu2ZnSnS4 thin films

Zhang Qing, Cao Meng, Huang Jian, Yan Sun, Wang Lin Jun, and Shen Yue
JTu5A.13 Optical Nanostructures and Advanced Materials for Photovoltaics (SOLED) 2015

A comparable study on structural and optical properties of Cu2ZnSnS4 and Cu2ZnSnSe4 nanocrystallines

Xiuquan Gu, Yinghuai Qiang, Yulong Zhao, and Lei Zhu
ASa3A.18 Advanced Optoelectronics for Energy and Environment (AOEE) 2013

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.