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Record W2066999769 · doi:10.1063/1.3606535

Tetracene thin film transistors with polymer gate dielectrics

2011· article· en· W2066999769 on OpenAlexaff
Simone Bertolazzi, Julia Wünsche, Fabio Cicoira, Clara Santato

Bibliographic record

VenueApplied Physics Letters · 2011
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTetraceneParyleneMaterials scienceDielectricPolymerOptoelectronicsTransistorThin filmThin-film transistorGate dielectricOrganic semiconductorSilicon dioxideSiliconPolystyreneNanotechnologyComposite materialChemistryElectrical engineeringLayer (electronics)MoleculeOrganic chemistryVoltage

Abstract

fetched live from OpenAlex

The use of polymer dielectrics is an important step towards large-area, flexible, and low-cost electronics. In this letter, we study the effect of the polymer dielectrics polystyrene and parylene C on the charge transport properties of tetracene thin films in transistor configuration. By using polymer dielectrics, the tetracene hole mobility increased by more than one order of magnitude, up to 0.2 cm2 V−1 s−1, as compared to bare silicon dioxide. We correlate this result to a favorable morphology of the tetracene films during the early stages of growth.

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 categoriesMeta-epidemiology (narrow)
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 score0.076
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.161
Teacher spread0.150 · 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.

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

Citations19
Published2011
Admission routes1
Has abstractyes

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