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Record W3042126046 · doi:10.1063/5.0005436

Micrometer scale InGaN green light emitting diodes with ultra-stable operation

2020· article· en· W3042126046 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Physics Letters · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsLight-emitting diodeOptoelectronicsLaser linewidthMaterials scienceDiodePhotonicsCurrent densityQuantum efficiencyVoltage droopWavelengthWide-bandgap semiconductorQuantum dotOpticsLaserPhysicsVoltage

Abstract

fetched live from OpenAlex

We report on the demonstration of InGaN photonic nanocrystal light emitting diodes (LEDs), which operate in the green wavelength (∼548 nm). The devices are designed to operate at the Γ point of the photonic band structure and exhibit a spectral linewidth ∼4 nm, which is nearly five to ten times narrower than that of conventional InGaN quantum well LEDs in this wavelength range. Significantly, the device performance, in terms of the emission peak and spectral linewidth, is nearly invariant with injection current, suggesting the insusceptibility to quantum-confined Stark effect commonly seen in InGaN quantum wells. The external quantum efficiency is characterized by a sharp rise with increasing current and reaches a maximum at ∼5 A/cm2, which is comparable to conventional blue quantum well LEDs. A relatively small (∼30%) efficiency droop was measured at an injection current density over 200 A/cm2 at room temperature without any active cooling.

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.

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 score0.004
Threshold uncertainty score0.839

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 head0.011
GPT teacher head0.199
Teacher spread0.188 · 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