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Record W1990216715 · doi:10.1063/1.1715141

Tuning of the electronic properties of self-assembled InAs/InP(001) quantum dots by rapid thermal annealing

2004· article· en· W1990216715 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Physics Letters · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsPolytechnique MontréalRegroupement Québécois sur les Matériaux de PointeInstitute for Microstructural Sciences
Fundersnot available
KeywordsWetting layerQuantum dotPhotoluminescenceAnnealing (glass)Molecular beam epitaxyMaterials scienceOptoelectronicsCrystallographic defectSpectral lineAnalytical Chemistry (journal)EpitaxyCondensed matter physicsNanotechnologyLayer (electronics)ChemistryPhysicsMetallurgy

Abstract

fetched live from OpenAlex

We have investigated the effect of post-growth rapid thermal annealing on the low-temperature photoluminescence (PL) spectra of self-assembled InAs quantum dots (QDs) grown in InP(001) by chemical-beam epitaxy using both conventional and modified capping procedures. As-grown samples are characterized by a broad emission peak centered near 800–900 meV corresponding to distinct QD families of different sizes with no observable wetting-layer emission. Rapid thermal anneals were performed at 650 to 800 °C for 210 s, resulting in blueshifts of up to 120 meV due to intermixing. While the PL emission energies of the various QD families shift at similar rates upon annealing, the peak widths remain approximately constant. Finally, we show that the growth of a low-temperature InP cap layer containing a large number of point defects significantly enhances interdiffusion and results in PL blueshifts in excess of 300 meV.

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.

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 score0.061
Threshold uncertainty score0.725

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 head0.008
GPT teacher head0.196
Teacher spread0.188 · 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