2012
DOI: 10.3807/kjop.2012.23.1.042
|View full text |Cite
|
Sign up to set email alerts
|

Modeling of Active Layer and Injection-locking Characteristics in Polarized and Unpolarized Fabry-Perot Laser Diodes

Abstract: Modeling of Active Layer and Injection-locking Characteristics inPolarized and Unpolarized Fabry-Perot Laser Diodes (Received January 6, 2012; Revised manuscript February 14, 2012; Accepted February 14, 2012) In this paper, injection-locking characteristics versus active layer structures in Fabry-Perot laser diodes (FP-LD) are compared. TE and TM gain spectra and peak gains versus carrier density in polarized and unpolarized multiple quantum well structures and in an unpolarized bulk structure are calculat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2012
2012
2012
2012

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…The quasi-Fermi levels and electrostatic potential are resolved iteratively until the total current density converges within specified tolerance [5][6][7][8][9]. Fig.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The quasi-Fermi levels and electrostatic potential are resolved iteratively until the total current density converges within specified tolerance [5][6][7][8][9]. Fig.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…  in the last term of equation (12) indicates the spontaneous emission rate between the conduction and the valence subbands, and it is directly calculated from the multi-band Hamiltonian equations including the strain and piezoelectric effects [5][6][7][8][9]. However, the analysis of the actual LEDs is not easy due to many unknown physical parameters such as the dislocation density, piezoelectric parameters, and deformation potential parameters.…”
Section: Simulation Algorithmmentioning
confidence: 99%
See 2 more Smart Citations