Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 29,
  • Issue 18,
  • pp. 2831-2835
  • (2011)

GaN-Based LEDs With Air Voids Prepared by One-Step MOCVD Growth

Not Accessible

Your library or personal account may give you access

Abstract

The authors report the formation of air voids at GaN/cone-shaped pattern sapphire substrate interface by laser scribing and lateral etching with one-step growth. With 5 and 20 min lateral etching, it was found that pyramid-like air voids were formed with an average height of 0.98 and 1.9 $\mu$m, respectively, on top of each cone of the substrate. It was also found that we can enhance LED output power by 11.5% by etching the wafers for 20 min. It was also found that the simulated results agree well with the experimentally observed data.

© 2011 IEEE

PDF Article
More Like This
High-efficiency light-emitting diode with air voids embedded in lateral epitaxially overgrown GaN using a metal mask

Chu-Young Cho, Min-Ki Kwon, Il-Kyu Park, Sang-Hyun Hong, Jae-Joon Kim, Seong-Eun Park, Sung-Tae Kim, and Seong-Ju Park
Opt. Express 19(S4) A943-A948 (2011)

InGaN-based light-emitting diodes with an embedded conical air-voids structure

Yu-Chieh Huang, Chia-Feng Lin, Sy-Hann Chen, Jing-Jie Dai, Guei-Miao Wang, Kun-Pin Huang, Kuei-Ting Chen, and Yi-Hsiang Hsu
Opt. Express 19(S1) A57-A63 (2011)

Enhanced output power of GaN-based LEDs with embedded AlGaN pyramidal shells

Shang-Ju Tu, Jinn-Kong Sheu, Ming-Lun Lee, Chih-Ciao Yang, Kuo-Hua Chang, Yu-Hsiang Yeh, Feng-Wen Huang, and Wei-Chih Lai
Opt. Express 19(13) 12719-12726 (2011)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.