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Record W2102746064 · doi:10.1109/jdt.2013.2248698

White Organic Light-Emitting Diodes for Solid-State Lighting

2013· article· en· W2102746064 on OpenAlexaff
Yi‐Lu Chang, Zheng‐Hong Lu

Bibliographic record

VenueJournal of Display Technology · 2013
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of Toronto
FundersSandia National Laboratories
KeywordsOLEDSolid-state lightingCarbon footprintWhite lightFootprintWhite paperFlat panelDiodeEngineering physicsComputer scienceLight-emitting diodeMaterials scienceOptoelectronicsNanotechnologyEngineeringGreenhouse gasPolitical scienceComputer graphics (images)

Abstract

fetched live from OpenAlex

Lighting consumes a significant amount of generated electrical power in developing countries, and it uses over 20% of the energy supplied in developed countries. Therefore, semiconductor-based light sources with high energy efficiencies are critical technologies for the reduction of global carbon footprint. As an emerging lighting technology, organic light-emitting diode (OLED) has received huge worldwide attention in recent years, partially driven by its success in the flat-panel display market and partially driven by its technology virtues such as an unique thin, flat, foldable form factor. In this review, we will provide an overview on the current status of OLEDs for lighting applications. Specifically, a detailed overview of the state-of-the-art white OLED design concepts including their working principles will be presented. A brief overview on the current status of out-coupling techniques suitable for white OLEDs will also be discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.006

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 head0.006
GPT teacher head0.240
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), 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

Citations97
Published2013
Admission routes1
Has abstractyes

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