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Record W1981205806 · doi:10.1002/pssc.201100604

Laser characteristics of a heterostructure with a five Cd(Zn)Se QD sheet active region embedded in non‐symmetrical superlattice graded‐index waveguide

2012· article· en· W1981205806 on OpenAlexfundno aff
Е. В. Луценко, Aliaksei G. Vainilovich, Nikolai P. Tarasuk, В. Н. Павловский, G. P. Yablonskii, A. Alyamani, I. V. Sedova, S. V. Sorokin, S. V. Gronin, P. S. Kop’ev, S. V. Ivanov

Bibliographic record

VenuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics · 2012
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsnot available
FundersInternational Science and Technology CenterGlobal Institute for Water Security, University of Saskatchewan
KeywordsSuperlatticeHeterojunctionLaserMaterials scienceOptoelectronicsMolecular beam epitaxyQuantum dotRefractive indexWaveguideExcitationOpticsSemiconductor laser theoryEpitaxySemiconductorLayer (electronics)PhysicsNanotechnology

Abstract

fetched live from OpenAlex

Abstract Optically pumped green‐emitting (545–551 nm) ZnSe‐based laser heterostructures grown by molecular‐beam epitaxy have been elaborated and studied. The optimized II–VI laser heterostructure involves a non‐symmetrical Zn(Mg)SSe/ZnSe superlattice (SL) graded‐index waveguide and an active region comprising five CdSe quantum dot sheets each placed in the centre of a 2 nm‐thick ZnSe quantum well. Such a structure design provides both large optical confinement factor and high homogeneity of excitation. Internal laser parameters were determined by measuring the laser threshold and differential quantum efficiency as functions of the cavity length. The values of internal quantum efficiency, internal optical losses, characteristic gain and transparency threshold have been estimated to be η i = 80.5%, α i = 3.2 cm –1 , ΓG 0 = 135 cm –1 , and I T = 1.35 kW/cm 2 , respectively. Based on the defined parameters, the values of minimum threshold power and corresponding optimum cavity length have been derived. It is shown that the minimum threshold power decreases significantly (by more than 20%) in comparison with that for the heterostructure with conventional flat‐band SL waveguide (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.038
GPT teacher head0.318
Teacher spread0.280 · 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 designOther design
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

Citations2
Published2012
Admission routes1
Has abstractyes

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