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Record W4324133117 · doi:10.1117/12.2646618

Vertical, Surface-emitting, Human-safe-wavelength semiconductor UV LEDs with AlGaN nanowires (Conference Presentation)

2023· article· en· W4324133117 on OpenAlexaff
Songrui Zhao, Qihua Zhang, Xue Yin, Heemal Parimoo, Mohammad Fazel Vafadar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials scienceLight-emitting diodeOptoelectronicsNanowireSemiconductorElectrodeWavelengthWide-bandgap semiconductorPolarization (electrochemistry)

Abstract

fetched live from OpenAlex

In this talk, I will discuss using AlGaN nanowires for surface-emitting semiconductor deep UV LEDs at short wavelengths in vertical geometry. I will first show that by using high Al content AlGaN nanowires, devices emitting down to 207 nm can be obtained. The incorporation of polarization engineered layers further improves the device electrical performance significantly, whereas replacing conventional metal top electrode with graphene improves the device optical performance. I will also show in this talk that, by using nanowire template assisted AlN buffer layers, vertical semiconductor deep UV LEDs emitting down to 247 nm can be achieved.

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 categoriesInsufficient payload (model declined to judge)
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 score0.068
Threshold uncertainty score0.995

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)0.0060.001

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 head0.036
GPT teacher head0.285
Teacher spread0.249 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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