Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Journal Home About Issues in Progress Current Issue All Issues
  • Journal of Lightwave Technology
  • Vol. 36,
  • Issue 11,
  • pp. 2175-2182
  • (2018)

Ultrafast Fiber Laser Using InN as Saturable Absorber Mirror

Marco Jiménez-Rodríguez, Eva Monroy, Miguel González-Herráez, and Fernando B. Naranjo

Not Accessible

Your library or personal account may give you access

Abstract

This paper focuses on the development and characterization of an ultrafast passively mode-locked fiber laser using InN-bulk as semiconductor saturable absorber mirror. The developed laser is polarization independent, and delivers a stable output emission of ultrashort pulses with time-width as short as 241 fs, centered at 1.5 μm, with 42 kW peak power.

© 2018 IEEE

PDF Article
More Like This
Performance enhancement of an ultrafast all-fiber laser based on an InN saturable absorber using GRIN coupling

L. Monroy, M. Soriano-Amat, Ó. Esteban, E. Monroy, M. González-Herráez, and F. B. Naranjo
Opt. Express 29(18) 29357-29365 (2021)

Widely power-tunable polarization-independent ultrafast mode-locked fiber laser using bulk InN as saturable absorber

M. Jimenez-Rodriguez, L. Monteagudo-Lerma, E. Monroy, M. González-Herráez, and F. B. Naranjo
Opt. Express 25(5) 5366-5375 (2017)

Effect of the residual doping on the performance of InN epilayers as saturable absorbers for ultrafast lasers at 1.55µm

L. Monroy, M. Jiménez-Rodríguez, P. Ruterana, E. Monroy, M. González-Herráez, and F. B. Naranjo
Opt. Mater. Express 9(7) 2785-2792 (2019)

View More...

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
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use