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Record W2040567198 · doi:10.1021/am402537j

Degradation of Organic/Organic Interfaces in Organic Light-Emitting Devices due to Polaron–Exciton Interactions

2013· article· en· W2040567198 on OpenAlexaff
Qi Wang, Hany Aziz

Bibliographic record

VenueACS Applied Materials & Interfaces · 2013
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsOLEDMaterials scienceExcitonPolaronDegradation (telecommunications)ElectroluminescenceOptoelectronicsOrganic solar cellOrganic semiconductorOrganic electronicsChemical physicsPolymerElectronNanotechnologyVoltageCondensed matter physicsLayer (electronics)Composite materialComputer scienceChemistryTransistorElectrical engineering

Abstract

fetched live from OpenAlex

We study the stability of common hole transport material/electron transport material (HTM/ETM) interfaces present in typical organic light-emitting devices (OLEDs) under various stress scenarios. We determined that these interfaces degrade rapidly, because of an interaction between HTM positive polarons and HTM singlet excitons. The phenomenon results in a deterioration in conduction across the interface, and contributes to the commonly observed increase in OLED driving voltage with electrical driving time. This interfacial degradation can be slowed if the exciton lifetime becomes shorter. The findings uncover a new degradation mechanism that is interfacial in nature, which affects organic/organic interfaces in OLEDs and contributes to their limited electroluminescence stability, and shed light on approaches for reducing it. Although this study has focused on OLEDs, we can expect the same degradation mechanism to affect organic/organic interfaces in other organic optoelectronic devices where both excitons and polarons are present in high concentrations, such as in organic solar cells or photodetectors.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.010
GPT teacher head0.237
Teacher spread0.228 · 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

Citations135
Published2013
Admission routes1
Has abstractyes

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