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Record W2029182065 · doi:10.1109/jqe.2008.2003104

Design Considerations for Asymmetric Multiple Quantum Well Broad Spectral Width Superluminescent Diodes

2008· article· en· W2029182065 on OpenAlexaff
Jingcong Wang, Michael J. Hamp, Daniel T. Cassidy

Bibliographic record

VenueIEEE Journal of Quantum Electronics · 2008
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSpectral widthOptoelectronicsDiodeQuantum wellOpticsMaterials sciencePhysicsLaserWavelength

Abstract

fetched live from OpenAlex

We investigated the design of broad spectral width super luminescent diodes (SLDs) with asymmetric multiple-quantum-well (AMQW) active regions. The design is based on theoretical modeling, which starts with calculation of the gain. Two InGaAsP/InP AMQW SLD structures centered at 1.3 mum were grown and processed. Both gave a broad spectral width of >80 nm when operated at the transition carrier density (TCD). Structure 1 was designed based on gain simulations only and was found to be able to provide broad spectral width only at low injection currents. Thus, Structure 1 gives low output power. Based on this experience, structure 2 was designed to achieve a broad gain at a higher TCD than Structure 1. Experimental results show that structure 2 provided a reasonable power and broad spectral width at the TCD. Thus, we conclude that, compared with normal design criterion which depends on the gain spectrum only, the design of an AMQW SLD has to include a relatively high TCD to obtain reasonable output power. The SLDs were ridge waveguide structures with seven degree tilted-stripes. Use of double section waveguides could further broaden the SLD spectrum at the red side by >10 nm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.245
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2008
Admission routes1
Has abstractyes

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