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Record W2193223245 · doi:10.1117/12.2188676

A comparison of the effect of joule heating vs thermal annealing on the morphology of typical hole transport layers in organic light emitting devices

2015· article· en· W2193223245 on OpenAlexaff
Tyler Davidson‐Hall, Hany Aziz

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsJoule heatingOLEDMaterials scienceAnnealing (glass)OptoelectronicsThermal stabilityThermalWork functionCurrent densityElectromigrationJoule effectComposite materialThermodynamicsChemistryLayer (electronics)

Abstract

fetched live from OpenAlex

It is well-known that hole transport layers (HTLs) in organic light emitting devices (OLEDs) are more sensitive to morphological changes than other organic layers due to the lower glass transition temperatures. A high operational temperature can alter the HTL morphology, severely impacting OLED performance and stability. Although joule heating is a known factor affecting OLED stability during operation, its effect in experimental studies is typically simulated through thermal annealing of the devices rather than applying current. In this work, a comparison of the effects of joule heating vs thermal annealing on the morphological stability of N,N'-di(1-naphthyl)-N,N'-diphenylbenzidine (NPB) and N,N′-Dicarbazolyl-4,4′-biphenyl (CBP) HTLs and the impact this has on OLED performance is investigated. While thermal annealing of an OLED can be used as an approximation of joule heating, the temperature distribution profile of the OLED is different under the two stress conditions and thus can impact the morphology of the HTL differently. However, joule heating introduces a confounding factor whereby the OLEDs experience intrinsic degradation by the flow of current, aside from thermal stress. Therefore, in this work, joule heating is studied in unipolar devices that comprise solely of the HTL. Device JVL and morphology as a function of temperature for both joule heating and thermal annealing are presented as a means to evaluate stability and performance.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.061
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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.

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

Citations5
Published2015
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicOrganic Light-Emitting Diodes ResearchFrench-language works237,207