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Record W2030607634 · doi:10.1116/1.4865914

Engineering the color rendering index of phosphor-free InGaN/(Al)GaN nanowire white light emitting diodes grown by molecular beam epitaxy

2014· article· en· W2030607634 on OpenAlexaff
Ashfiqua T. Connie, Hieu Pham Trung Nguyen, Sharif Sadaf, I. Shih, Zetian Mi

Bibliographic record

VenueJournal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsLight-emitting diodePhosphorOptoelectronicsMaterials scienceMolecular beam epitaxyNanowireDiodeHeterojunctionColor rendering indexIndium gallium nitrideColor temperatureGallium nitrideOpticsEpitaxyNanotechnologyLayer (electronics)Physics

Abstract

fetched live from OpenAlex

The functional properties, such as color rendering index (CRI) and correlated color temperature (CCT) of nanowire white light emitting diodes (LEDs), have been studied. The nanowire LEDs can generate broad spectrum white light, and by controlling the growth conditions, it is easy to tailor the spectrum. This is a significant advantage over phosphor converted or nanocrystal based white light sources since it is difficult to modulate the spectrum while maintaining high efficiency using these conventional methods. The authors demonstrated that the InGaN/(Al)GaN dot-in-a-wire heterostructure LEDs can generate high CRI values of 94–98 in both warm and cool white regions. Furthermore, the generated light demonstrates relatively stable CCT, CRI, and Commission Internationale d'Eclairage coordinates at different injection currents.

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)0.003
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.193
Teacher spread0.189 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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