Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 10,
  • Issue 6,
  • pp. 062302-
  • (2012)

Investigation of GaN-based dual-wavelength light-emitting diodes with p-type barriers and vertically stacked quantum wells

Not Accessible

Your library or personal account may give you access

Abstract

Designs of p-doped in quantum well (QW) barriers and specific number of vertically stacked QWs are proposed to improve the optical performance of GaN-based dual-wavelength light-emitting diodes (LEDs). Emission spectra, carrier concentration, electron current density, and internal quantum efficiency (IQE) are studied numerically. Simulation results show that the efficiency droop and the spectrum intensity at the large current injection are improved markedly by using the proposed design. Compared with the conventional LEDs, the uniform spectrum intensity of dual-wavelength luminescence is realized when a specific number of vertically stacked QWs is adopted. Suppression of electron leakage current and the promotion of hole injection efficiency could be one of the main reasons for these improvements.

© 2012 Chinese Optics Letters

PDF Article
More Like This
Performance enhancement of blue light-emitting diodes without an electron-blocking layer by using special designed p-type doped InGaN barriers

Yun-Yan Zhang, Guang-Han Fan, Yi-An Yin, and Guang-Rui Yao
Opt. Express 20(S1) A133-A140 (2012)

Enhanced hole transport in InGaN/GaN multiple quantum well light-emitting diodes with a p-type doped quantum barrier

Yun Ji, Zi-Hui Zhang, Swee Tiam Tan, Zhen Gang Ju, Zabu Kyaw, Namig Hasanov, Wei Liu, Xiao Wei Sun, and Hilmi Volkan Demir
Opt. Lett. 38(2) 202-204 (2013)

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.