Issue 39, 2020, Issue in Progress

Tunable nanostructured distributed Bragg reflectors for III-nitride optoelectronic applications

Abstract

Highly reflective and conductive distributed Bragg reflectors (DBRs) are the key for high-performance III-nitride optoelectronic devices, such as vertical cavity surface emitting lasers (VCSELs), but they still suffer from lack of lattice-matched conductive DBR and uncontrollable processes. In this work, nanostructured GaN-based DBRs were fabricated and optimized both experimentally and simulatively using electrochemical etching (EC) in different electrolytes using the transfer-matrix method (TMM) to obtain uniform wafer scale, highly reflective and conductive reflectors for the application of GaN-based optoelectronics. The results revealed that a nanostructured GaN-based DBR with high reflectivity (>93%) and broad stopband (∼80 nm) could be achieved in neutral sodium nitrate by EC, and the nanostructured GaN DBR with a full visible spectrum range could be designed by tuning the thickness of the nanostructured GaN DBR layers. The photoluminescence (PL) and light-out power enhancements of the GaN-based micro-LED by incorporating the fabricated nanostructured GaN-based DBR were 6 times and 150% without the degradation of electrical performance, respectively, which contributed to strong light scattering from the DBR layers. We believe that this work will pave a way to obtain high-performance GaN-based optoelectronic devices and guide the applications in the field of flexible devices and biomedical sensors.

Graphical abstract: Tunable nanostructured distributed Bragg reflectors for III-nitride optoelectronic applications

Article information

Article type
Paper
Submitted
21 Apr 2020
Accepted
04 Jun 2020
First published
18 Jun 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 23341-23349

Tunable nanostructured distributed Bragg reflectors for III-nitride optoelectronic applications

B. Wei, Y. Han, Y. Wang, H. Zhao, B. Sun, X. Yang, L. Han, M. Wang, Z. Li, H. Xiao and Y. Zhang, RSC Adv., 2020, 10, 23341 DOI: 10.1039/D0RA03569F

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