Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

High-power, wide-temperature-range operation of InGaAsP/InP strained-layer MQW lasers with a reverse-mesa ridge-waveguide structure

Not Accessible

Your library or personal account may give you access

Abstract

Low-cost, long-wavelength laser diodes that operate reliably without temperature control over a wide temperature range (WTR) are key components in fiber-in-the-loop applications rapidly being developed. InP-based ridge-waveguide (RWG) lasers have recently been reported to have a high potential for practical use because of their simple fabrication with high process uniformities,1,2 high WTR performance,2–4 low parasitics,2,4,5 and high reliability.2,4 Most of these lasers use a rectangular ridge with vertical sidewalls formed by conventional wet etching. In this paper we propose a reverse-mesa (RM) RWG laser structure that further improves long-wavelength RWG laser performance. Direct comparison between the RM-RWG lasers and conventional vertical-mesa (VM) RWG lasers clearly reveals substantial reductions in threshold currents, series resistance, and waveguide loss for the proposed structure.

© 1995 Optical Society of America

PDF Article
More Like This
High-power, high-speed, low-noise operation of uniformly p-doped 1550-nm InGaAlAs compressively strained MQW ridge-waveguide lasers

Z. Wang, D. B. Darby, P. Whitney, R. Panock, and D. C. Flanders
ThG2 Optical Fiber Communication Conference (OFC) 1995

InGaAs strained MQW ridge waveguide laser with wide bandgap InGaP clad layer at 1.3 μm

H. Kurakake, T. Uchida, S. Ogita, H. Soda, and S. Yamazaki
FC2 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 1995

High-power, high-efficiency, highly uniform 1.3-μm InGaAsP/InP strained MQW lasers

K. Kojima
ThG3 Optical Fiber Communication Conference (OFC) 1995

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.