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Record W2088612374 · doi:10.1117/12.683415

Organic-fullerene composite anode structures for organic light-emitting diodes

2006· article· en· W2088612374 on OpenAlexaff
Yanyan Yuan, S. Han, Sai‐Wing Tsang, D. Grozea, Jiawan Zhang, Zheng Lu

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnodeMaterials scienceComposite numberOLEDOptoelectronicsDiodeFullereneCommon emitterLayer (electronics)Light-emitting diodeThermal stabilityNanotechnologyElectrodeComposite materialChemical engineeringChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

CuPc:C60 Organic-Fullerene composites together with metals such as Au are found to form efficient hole injection structures for organic light-emitting diodes. C60 concentration of 30 wt.% yielded optimum device characteristics including low driving voltage, high current efficiency, and high thermal stability. In the case of Au/CuPc:C60 anode structure, extremely high current efficiency of ~ 8.7 cd/A and low operating voltage (i.e. 20 mA/cm2 at ~8V) has been achieved in a simple bi-layer device using Alq as emitter. Through a study on single carrier devices, the versatility of the composite injection structure is attributed to that C60 in the composite layer facilitate hole transfer from the metals to the composite whereas CuPc facilitate hole transport and transfer to a hole transport layer.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSemiconductor materials and devicesFrench-language works237,207