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Record W2062345592 · doi:10.1364/oe.18.001501

Design and epitaxy of 15 μm InGaAsP-InP MQW material for a transistor laser

2010· article· en· W2062345592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOptics Express · 2010
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsUniversity of British Columbia
FundersShenzhen University
KeywordsMaterials scienceMetalorganic vapour phase epitaxyOptoelectronicsEpitaxyDopingChemical vapor depositionLaserDopantQuantum wellOpticsMolecular beam epitaxyLayer (electronics)Nanotechnology

Abstract

fetched live from OpenAlex

An InGaAsP-InP transistor laser (TL) at 1.55 microm has been designed and modeled. The proposed TL has a deep-ridge waveguide structure with the multiple quantum wells (MQWs) buried in the base-emitter junction, which provides good optical and electrical confinement and can effectively reduce the optical absorption and lateral leakage current. Good laser performance has been predicted by numerical modeling based on which the epitaxial growth was carried out by metalorganic chemical vapor deposition (MOCVD). The effect of p-dopant (Zn) diffusion on the QW performance was investigated by a re-growth procedure. By introducing a graded p-doping profile, the Zn diffusion into the MQWs was effectively controlled. With an average doping density of 1 x 10(18) cm(-3) in the base contact layer, the InGaAsP MQWs demonstrated high PL intensity at 1.51 microm and clear satellite diffraction peaks in the XRD spectrum.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.460

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 integrity0.0000.000
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 head0.013
GPT teacher head0.214
Teacher spread0.200 · 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