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Record W1972499948 · doi:10.1063/1.2357862

Lifetime study of polymer light-emitting electrochemical cells

2006· article· en· W1972499948 on OpenAlexafffund
Yanguang Zhang, Jun Gao

Bibliographic record

VenueJournal of Applied Physics · 2006
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceDopingRelaxation (psychology)PolymerSubstrate (aquarium)PhotoluminescenceGlass transitionQuenching (fluorescence)Stress relaxationOptoelectronicsElectroluminescenceAnalytical Chemistry (journal)Composite materialOpticsChemistryOrganic chemistryCreep

Abstract

fetched live from OpenAlex

The lifetime and degradation characteristics of frozen-junction polymer light-emitting electrochemical cells have been studied. Two seemingly minor factors, the end group of the same luminescent polymer and the type of substrate on which the device is constructed, have shown profound effects on the stress behaviors of these devices operated at a nominal operating temperature of 200K. In devices made on glass substrates, an anomalous large increase in light intensity and driving voltage has been observed under constant current stress measurement. This has been attributed to the relaxation of the electrochemical doping, which leads to reduced photoluminescence quenching and increased resistance in the polymer film. The doping relaxation is accelerated by the poor thermal conductivity of glass substrate, which causes significant temperature rise in the device due to self-heating. Evidence also suggests that doping relaxation can even occur at below the glass transition temperature of the polymer electrolyte. All devices are shown to be short lived when operated at or above 250K due to fast doping relaxation. However, devices made on sapphire substrates based on 3,5-dimethyl phenyl-terminated poly[5-(2′- ethylhexyloxy)-2-methoxy-1, 4-phenylene vinylene] are remarkably stable when operated at 200K, with an estimated half-life of 700h even when stressed at a very high current density of 1A∕cm2.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.007
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.212
Teacher spread0.207 · 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

Citations40
Published2006
Admission routes2
Has abstractyes

Explore more

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