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Record W2009872983 · doi:10.1103/physrevb.83.235304

Temperature dependence of the photoluminescence spectra from InAs(P)/InP multilayers containing thick quantum dots: Dot-size-dependent carrier dynamics

2011· article· en· W2009872983 on OpenAlexafffund
A. Lévesque, P. Desjardins, R. Leonelli, R. A. Masut

Bibliographic record

VenuePhysical Review B · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsUniversité de MontréalPolytechnique MontréalRegroupement Québécois sur les Matériaux de Pointe
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsPolytechnique Montréal
KeywordsPhotoluminescenceQuantum dotWetting layerMaterials scienceExcited stateThermalisationCondensed matter physicsSpectral lineSpontaneous emissionMolecular physicsPhysicsAtomic physicsOptoelectronicsOpticsLaser

Abstract

fetched live from OpenAlex

We have studied the temperature dependence (\ensuremath{\sim}10--293 K) of the photoluminescence (PL) from InAs/InP(001) quantum dot (QD) multilayers with thin spacer layers (\ensuremath{\sim}5 nm) emitting in the 0.6--0.8 eV spectral region. The QD emission redshifts less than the InAs bulk material band gap with increasing temperature. This behavior is accompanied by an important rise of the relative PL intensity of the higher-energy contributions to the spectra. The room-temperature emission is rather strong---over 20% of the low-temperature value---since deep confinement effects prevent the thermal escape of the carriers out of these relatively large QD's. In addition, the carrier transfer from the wetting layers to the QD's increases with the number of layers at low temperatures. A dot-size-dependent analysis of the carrier dynamics using a rate-equation model leads to the following interpretation of our experimental results: (i) the radiative emission intensity from thicker dots quenches at lower temperature through thermalization to excited nearly dark states, and (ii) carriers initially captured by the wetting layer are preferentially transferred to thinner QD's whose emission energy is higher than \ensuremath{\sim}0.7 eV. In multilayers, the experimental observations can be explained without involving electronic coupling between QD's of different layers, even though the distance between the vertically aligned nanostructures is small.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.270
Teacher spread0.252 · 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

Citations8
Published2011
Admission routes2
Has abstractyes

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