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Record W3119283856 · doi:10.1063/5.0029761

Dilute-antimonide GaSbN/GaN dots-in-wire heterostructures grown by molecular beam epitaxy: Structural and optical properties

2021· article· en· W3119283856 on OpenAlexafffund
Faqrul A. Chowdhury, Michel L. Trudeau, Renjie Wang, Hong Guo, Zetian Mi

Bibliographic record

VenueApplied Physics Letters · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsHydro-QuébecMcGill UniversityPolytechnique Montréal
FundersDivision of Chemical, Bioengineering, Environmental, and Transport SystemsNatural Sciences and Engineering Research Council of CanadaMcGill UniversityNational Science Foundation
KeywordsMolecular beam epitaxyPhotoluminescenceMaterials scienceElectroluminescenceHeterojunctionOptoelectronicsAntimonideLaser linewidthQuantum wellQuantum-confined Stark effectExcitonCondensed matter physicsEpitaxyQuantum dotOpticsNanotechnologyLaser

Abstract

fetched live from OpenAlex

We have investigated the epitaxy of GaSbN/GaN dots-in-wire heterostructures on a Si substrate by plasma-assisted molecular beam epitaxy. The photoluminescence (PL) emission wavelength was tuned from UV to blue and green regions at room temperature by varying the antimony (Sb) composition in the dilute regime (Sb concentration < 1%). Structural analysis reveals clearly defined interfaces between quantum-confined crystalline GaSbN and GaN layers with negligible lattice mismatch. The PL spectra unveil the non-monotonic dependence of the peak energy and linewidth on the excitation power and temperature. This can be correlated with the contributions from both localized and free excitons, wherein localized states dominate at low temperature and low excitation power. The screening of the quantum-confined Stark effect in the electroluminescence measurement suggests the presence of a substantially weaker built-in electric field (<240 kV/cm) for the green light emission at an ∼531 nm wavelength compared to conventional InGaN/GaN quantum wells, which is attributed to significantly reduced lattice mismatch between dilute-Sb GaSbN and GaN.

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 score0.007
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
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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

Citations7
Published2021
Admission routes2
Has abstractyes

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