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Record W2058831367 · doi:10.1021/cm062621i

Similar Roles of Electrons and Holes in Luminescence Degradation of Organic Light-Emitting Devices

2007· article· en· W2058831367 on OpenAlexafffund
Yichun Luo, Hany Aziz, Gu Xu, Zoran D. Popović

Bibliographic record

VenueChemistry of Materials · 2007
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsMcMaster UniversityXerox (Canada)
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOLEDDegradation (telecommunications)Materials scienceOptoelectronicsElectronLuminescenceLayer (electronics)NanotechnologyComputer sciencePhysicsTelecommunications

Abstract

fetched live from OpenAlex

Intrinsic degradation in organic light-emitting devices (OLEDs), the dominating cause of the short device lifetime, continues to be a critical issue for wider commercial application. For many years, intrinsic degradation in tris(8-hydroxyquinoline) aluminum (AlQ 3 )-based OLEDs has been known to be caused by excessive hole injection into the AlQ 3 emissive layer, due largely to earlier observations that electrons and holes act differently in the devices. However, a further investigation here leads to the discovery that excessive electrons can also induce significant degradation of the AlQ 3 layer, similar to what has been established for holes. The new understanding of the degradation mechanism of OLEDs is instrumental in directing the efforts of developing stable devices.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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

Citations41
Published2007
Admission routes2
Has abstractyes

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