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Record W2333068383 · doi:10.1149/1.2356362

Hole Mobility in Structurally-Different Pentacene Field-Sffect Transistors

2006· article· en· W2333068383 on OpenAlexafffund
Harry Kwok

Bibliographic record

VenueECS Transactions · 2006
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPentaceneOrganic field-effect transistorMaterials scienceActive layerElectron mobilityCrystalliteTransistorField-effect transistorCrystal (programming language)Single crystalCharge (physics)OptoelectronicsCondensed matter physicsThin-film transistorCrystallographyLayer (electronics)VoltageNanotechnologyChemistryPhysicsComputer science

Abstract

fetched live from OpenAlex

This work examined pentacene field-effect transistors (OFETs) made on polycrystalline, single-grain, and single-crystal active layers. Mobility data obtained in the literature were matched to equations developed from charge hopping and the Gaussian disorder model (GDM). Making use of a logical sequence of extraction steps, we were able to obtain materials parameters relevant to the charge transport (only one fitting parameter was needed). Our results indicated that there were major differences in the transport site distribution ranging from a very narrow rms width of the density of states (DOS) in the case of the single-crystal OFET to broader values in the single-grain and polycrystalline OFETs. Our model suggested an escape process dominated by correlated hopping at short distance and one limited by site energy distribution and re-organization energy as the active layer became more crystalline.

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 score0.323
Threshold uncertainty score0.575

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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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

Citations1
Published2006
Admission routes2
Has abstractyes

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