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Record W2010077458 · doi:10.1063/1.2035897

Imaging the doping and electroluminescence in extremely large planar polymer light-emitting electrochemical cells

2005· article· en· W2010077458 on OpenAlexafffund
Jun Gao, J. Dane

Bibliographic record

VenueJournal of Applied Physics · 2005
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectroluminescenceMaterials scienceOptoelectronicsPlanarDopingHeterojunctionPhotoluminescencePolymerOpticsNanotechnologyComposite materialPhysics

Abstract

fetched live from OpenAlex

An extremely large planar polymer light-emitting electrochemical cell with an interelectrode spacing of 11mm has been demonstrated. The large planar device structure allows for the imaging of doping propagation, photoluminescence, and electroluminescence (EL) with high spatial and temporal resolutions. Several unconventional EL modes have been observed based on the direct imaging of these devices with an interelectrode spacing ranging from 0.6to11mm. These include transient EL in a dynamic-junction device, EL from planar polymer/polymer heterojunction devices, and anomalous reverse-bias EL in a frozen-junction device. Transient EL occurs when the polarity of the applied bias is reversed after the device is fully turned on. The reversal of the applied bias causes the initiation and uneven propagation of fresh p doping within previously n-doped regions, and vise versa. This leads to the formation of transient, discrete, light-emitting p-n junctions near the electrodes before a continuous light-emission zone is formed by the complete reversal of the doping profile. In addition, planar cells consisting of a side-by-side polymer/polymer heterojunction have been demonstrated and imaged. The heterojunction in all working devices is found to be electronically conductive, but exhibits different ion-transport properties. Three types of polymer/polymer interface have been identified based on the imaging of doping and EL profiles. Finally, an anomalous reverse-bias EL mode has been observed in a planar frozen-junction device. The device was turned on at elevated temperature and then cooled to 200K. Stress under a constant reverse bias leads to the activation of anomalous EL that originates from the same region as forward-bias EL. Furthermore, both forward- and reverse-bias EL have been found to increase with time under reverse-bias stress.

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 score0.023
Threshold uncertainty score0.590

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 head0.209
Teacher spread0.204 · 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

Citations43
Published2005
Admission routes2
Has abstractyes

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