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Record W4399202505 · doi:10.1021/acs.cgd.4c00497

Ga Desorption Kinetics in the Molecular Beam Epitaxy of AlGaN Nanowires for Ultrashort Wavelength Light-Emitting Diodes

2024· article· en· W4399202505 on OpenAlexafffund
Qihua Zhang, Hui Yuan, Mohammad Fazel Vafadar, Gianluigi A. Botton, Songrui Zhao

Bibliographic record

VenueCrystal Growth & Design · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcMaster UniversityCanadian Light Source (Canada)McGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsNanowireMolecular beam epitaxyMaterials scienceElectroluminescenceOptoelectronicsDesorptionLight-emitting diodeDiodeEpitaxyWavelengthTransmission electron microscopySemiconductorNanotechnologyChemistryLayer (electronics)

Abstract

fetched live from OpenAlex

In this work, we show that by growing AlGaN nanowires with molecular beam epitaxy (MBE) in a Ga highly desorbing regime, light-emitting diodes that can emit light at 209 nm are obtained. Detailed light emission characteristics and transmission electron microscopy studies indicate that such a light emission is due to the formation of AlN. The correlation between Ga desorption and electroluminescence (EL) is further investigated by using a unique approach with two different Al sources. It is found that the Ga desorption related to the surface-migrated Ga adatoms along the nanowire sidewall drastically affects the device EL properties, rather than the impinged Ga adatoms on the nanowire top surface. The unveiled correlation between the Ga desorption kinetics and EL properties could advance the development of technically important, ultrashort, wavelength-tunable semiconductor ultraviolet light-emitting diodes using AlGaN nanowires.

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)0.001
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 score0.041
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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

Citations6
Published2024
Admission routes2
Has abstractyes

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