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Record W2751163627 · doi:10.1063/1.4989551

Molecular beam epitaxial growth and characterization of AlN nanowall deep UV light emitting diodes

2017· article· en· W2751163627 on OpenAlexafffund
Xianhe Liu, Songrui Zhao, Binh Huy Le, Zetian Mi

Bibliographic record

VenueApplied Physics Letters · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill University
FundersArmy Research OfficeNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials sciencePhotoluminescenceOptoelectronicsMolecular beam epitaxyDiodeSapphireBlueshiftLight-emitting diodeSubstrate (aquarium)Wide-bandgap semiconductorEpitaxyWavelengthOpticsNanotechnologyLaser

Abstract

fetched live from OpenAlex

We have demonstrated large area AlN nanowall light emitting diodes grown on a sapphire substrate, which operate at 214 nm. Through detailed temperature-dependent and power-dependent photoluminescence measurements and rate equation analysis, a relatively high internal quantum efficiency (∼60%) was derived for AlN nanowall structures at room-temperature. A consistent blueshift in the emission wavelengths was measured with decreasing nanowall widths due to the reduced tensile strain distribution. The devices exhibit excellent current-voltage characteristics, including a turn-on voltage of 7 V and current densities of >170 A/cm2 at 12 V.

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 score0.012
Threshold uncertainty score0.799

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 head0.205
Teacher spread0.198 · 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

Citations10
Published2017
Admission routes2
Has abstractyes

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