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Record W2317266941 · doi:10.1139/cjp-2015-0588

Experimental study on the mechanism governing spectral shifts in low power 670 nm AlGaInP multiple quantum well (MQW) laser diodes over temperature range 5–45 °C

2016· article· en· W2317266941 on OpenAlexvenueno aff
Santosh Chackrabarti, Dhrub Sharma, Shereena Joseph, Thoalfiqar Ali Zaker, Aurangzeb Khurram Hafiz, Ram Kafle

Bibliographic record

VenueCanadian Journal of Physics · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsnot available
FundersJamia Millia Islamia
KeywordsPhysicsDiodeLaserWavelengthPhotoluminescenceSpectral widthHamiltonian (control theory)Range (aeronautics)Band gapRedshiftOpticsOptoelectronicsSpectral densityQuantum wellAtomic physicsMaterials scienceQuantum mechanicsTelecommunications

Abstract

fetched live from OpenAlex

We report on the temperature-dependent spectral shifts in low power 670 nm AlGaInP multiple quantum well red laser diodes due to band gap narrowing at room temperatures (5–45 °C). The spectral shift mechanism is explored with a threshold current density of 11.41 kA/cm 2 and a good characteristic temperature of 114 K. The photoluminescence peak intensity shifts towards higher wavelengths and the full width at half maximum increases with increase in temperature from 5 to 45 °C. We use a Hamiltonian system considering the effective mass approximation to formulate the carrier concentrations. The band gap narrowing value determined by a simple formula amounts to 59.15 meV and displays N 1/3 dependence at higher densities. The carrier density dependence conveys that the redshift of the spectral emission is due to band gap narrowing.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.841

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)0.0010.000

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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 designObservational
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

Citations3
Published2016
Admission routes1
Has abstractyes

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