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Record W2102927647 · doi:10.1117/12.567550

Transparency current density of GaInNAs lasers

2004· article· en· W2102927647 on OpenAlexaff
G. Pakulski, James A. Gupta, Pedro Barrios, A. Delâge, Daniel Poitras, Xiaohua Wu, E. Post, Z. R. Wasilewski

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsInstitute for Microstructural Sciences
Fundersnot available
KeywordsMaterials scienceOptoelectronicsMolecular beam epitaxyThermionic emissionQuantum wellLaserCurrent densityAnnealing (glass)PhotoluminescenceSemiconductor laser theoryGallium arsenideOpticsEpitaxySemiconductorElectronNanotechnologyPhysics

Abstract

fetched live from OpenAlex

Transparency current density (J<sub>tr</sub>) was studied in GaInNAs ridge waveguide lasers. The devices employ Ga<sub>1-x</sub>In<sub>x</sub>N<sub>y</sub>As<sub>1-y</sub> multiple quantum wells and were grown on GaAs substrates using solid-source molecular beam epitaxy (MBE) with an RF plasma cell. The transparency current density is sensitive to material quality: defects, traps and other sources of non-radiative recombination. It is also dependent on the rate of thermionic emission from quantum wells. Wavelength, polarization and temperature dependence of transparency carrier density of annealed material was studied. Record low transparency carrier densities of 20 and 90 A/cm<sup>2</sup>/well were observed (for TM and TE polarizations) in devices based on GaInNAs material designed for emission at 1340 nm after optimized rapid thermal annealing. This low value of J<sub>tr</sub> confirms the excellent quality of the GaInNAs material and demonstrates that GaInNAs lasers with excellent material properties can be grown for long wavelength applications provided appropriate annealing is applied. It is believed that the low transparency current density is a unique feature of GaInNAs and is due to the band structure and band alignment of the material system.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.242
Teacher spread0.228 · 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 designBench or experimental
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

Citations5
Published2004
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSemiconductor Quantum Structures and DevicesFrench-language works237,207