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Record W1996357266 · doi:10.1063/1.2357863

Carrier distribution and its dependence on barrier thickness in InGaAsP∕InP asymmetric multiple quantum well lasers

2006· article· en· W1996357266 on OpenAlexaff
Huiling Wang, Aaron D. Vandermeer, Daniel T. Cassidy

Bibliographic record

VenueJournal of Applied Physics · 2006
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsPrincess Margaret Cancer CentreMcMaster University
Fundersnot available
KeywordsQuantum wellPhotoluminescenceDiffusionSpectral lineMaterials scienceCondensed matter physicsSemiconductor laser theoryCarrier lifetimeWavelengthRectangular potential barrierLaserMolecular physicsChemistrySemiconductorOptoelectronicsOpticsPhysicsSiliconThermodynamics

Abstract

fetched live from OpenAlex

The carrier distribution and its dependence on barrier thickness were investigated experimentally using the transition cavity length method and the temperature varying photoluminescence (PL) spectra for the mirror image asymmetric multiple quantum well structures. The carriers were found to be richer in the long wavelength wells rather than in the p-side wells, and the nonuniformity of the carrier distribution depends on the barrier thickness. A rate equation model was developed to simulate the room-temperature PL spectra and it was found that the carrier distribution is very sensitive to the ratio of the capture times among different quantum wells and to the diffusion time across the barrier while the escape time plays a minor role on the carrier distribution. The large sensitivity of the carrier distribution on the diffusion time explains the dependence of the carrier distribution on the barrier thickness.

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 score0.320
Threshold uncertainty score0.532

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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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

Citations5
Published2006
Admission routes1
Has abstractyes

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