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Record W2085621416 · doi:10.1063/1.3504253

Efficiency limiting processes in 1.55 μm InAs/InP-based quantum dots lasers

2010· article· en· W2085621416 on OpenAlexaff
Sayid A. Sayid, Igor P. Marko, Stephen J. Sweeney, Pedro Barrios, Philip J. Poole

Bibliographic record

VenueApplied Physics Letters · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsInstitute for Microstructural Sciences
FundersEngineering and Physical Sciences Research Council
KeywordsAuger effectHydrostatic pressureQuantum dotAtmospheric temperature rangeRange (aeronautics)AugerLimitingLaserMaterials scienceRadiative transferQuantum dot laserAtomic physicsSemiconductor laser theoryCondensed matter physicsOptoelectronicsDiodePhysicsThermodynamicsOptics

Abstract

fetched live from OpenAlex

The threshold current density, Jth, and its radiative component, Jrad, in 1.55 μm InAs/InP (100) quantum dot lasers are measured as a function of temperature and hydrostatic pressure. We find that Jrad is relatively temperature insensitive. However, Jth increases significantly with temperature leading to a characteristic temperature T0=72 K over the range 220–290 K. Nonradiative recombination accounts for up to 94% of Jth at T=293 K. Jth decreases with increasing pressure by 35% over 8 kbar causing an increase in T0 from 72 to 88 K. The results indicate that nonradiative Auger recombination determines temperature behavior of these devices and T0 value.

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 categoriesMeta-epidemiology (narrow)
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 score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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.

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

Citations12
Published2010
Admission routes1
Has abstractyes

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