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Record W2018572413 · doi:10.1063/1.1491002

Organic light emitting devices with enhanced operational stability at elevated temperatures

2002· article· en· W2018572413 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 · 2002
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsXerox (Canada)
Fundersnot available
KeywordsElectroluminescenceDegradation (telecommunications)BenzidineMaterials scienceOLEDLayer (electronics)Light-emitting diodeOptoelectronicsCommon emitterDopingOrganic semiconductorPhotochemistryAnalytical Chemistry (journal)ChemistryNanotechnologyOrganic chemistry

Abstract

fetched live from OpenAlex

Temperature dependence of electroluminescence degradation is studied in organic light emitting devices containing an emitting layer composed of a mixture of N,N′-di(naphthalene-1-yl)-N,N′-diphenyl-benzidine and tris(8-hydroxyquinoline)aluminum (AlQ3), doped with quinacridone green emitter. The emitting layer is sandwiched between hole and electron transport layers. Electroluminescence degradation in time is measured on devices operated at temperatures ranging from 22 to 100 °C. The devices demonstrated remarkable stability, even at elevated temperatures. From accelerated degradation tests, a device half-life of about 78 500, 18 700, and 8600 h can be projected for devices operated at 22, 70, and 100 °C, respectively, at an initial device luminance of 100 cd/m2. Activation energy for device degradation of 0.27 eV is consistent with the recently proposed degradation mechanism based on the unstable cationic AlQ3 species.

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 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 score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.195
Teacher spread0.186 · 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