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Record W2147090114 · doi:10.1088/0957-4484/18/1/015404

Drastic ion-implantation-induced inter-mixing during the annealing of self-assembled InAs/InP(001) quantum dots

2006· article· en· W2147090114 on OpenAlexafffund
C. Dion, P. Desjardins, M. Chicoine, F. Schiettekatte, Philip J. Poole, S. Raymond

Bibliographic record

VenueNanotechnology · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsUniversité de MontréalPolytechnique MontréalInstitute for Microstructural SciencesRegroupement Québécois sur les Matériaux de Pointe
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMaterials scienceAnnealing (glass)PhotoluminescenceQuantum dotBlueshiftIon implantationFluenceIonOptoelectronicsSpectral lineChemistryMetallurgy

Abstract

fetched live from OpenAlex

This work examines the influence of post-growth phosphorus implantation followed by rapid thermal annealing on the photoluminescence (PL) emission from self-assembled InAs/InP(001) quantum dots (QDs). Upon annealing, the spectra reveal an atypical evolution, showing an increase in the emission bandwidth and the rise of a InAsP quantum-well-like peak. The overall emission exhibit a blueshift whose magnitude increases with annealing temperature and fluence up to ∼325 meV. The temperature threshold for a detectable PL shift, 400 °C, is considerably lower than the 725 °C value for unimplanted samples, thereby demonstrating the potential of ion-implantation-induced intermixing for spatially selective band gap tuning of InAs/InP QDs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.007
GPT teacher head0.233
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), 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

Citations14
Published2006
Admission routes2
Has abstractyes

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