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Record W1995221972 · doi:10.1063/1.2884711

Unified model for the injection and transport of charge in organic diodes

2008· article· en· W1995221972 on OpenAlexaff
Pablo Lara Bullejos, J. A. Jiménez-Tejada, M. Jamal Deen, Ognian Marinov, W. R. Datars

Bibliographic record

VenueJournal of Applied Physics · 2008
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsMcMaster University
Fundersnot available
KeywordsThermionic emissionDiodeNernst equationVoltageElectrodeCurrent (fluid)Charge (physics)Materials scienceOptoelectronicsOLEDMechanicsChemistryNanotechnologyElectrical engineeringThermodynamicsPhysicsPhysical chemistryEngineeringElectron

Abstract

fetched live from OpenAlex

This paper presents a unified model for charge injection and transport in organic or polymeric diodes. A special focus is placed on charge injection from the contacts, using existing models such as thermionic emission and tunnel injection. These are combined to produce a compact model that includes effects associated with oxidation/reduction reactions at the electrodes. Charges are formed at the electrodes by oxidation or reduction in a process governed by the Nernst equation, and these charges modulate the injection barrier. A current-voltage relationship for organic or polymeric diodes that incorporates these injection phenomena, as well as the charge transport by the drift mechanism, is presented and discussed. The voltage ranges in which these effects are dominant are estimated. Finally, the resulting current-voltage and current-temperature relations are used to explain published experimental data.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.141

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 integrity0.0000.000
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 head0.010
GPT teacher head0.190
Teacher spread0.180 · 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 designSimulation or modeling
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

Citations36
Published2008
Admission routes1
Has abstractyes

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