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Record W1987114702 · doi:10.1063/1.2718505

Organic thin-film transistor integration using silicon nitride gate dielectric

2007· article· en· W1987114702 on OpenAlexaff
Flora M. Li, Arokia Nathan, Yiliang Wu, Beng S. Ong

Bibliographic record

VenueApplied Physics Letters · 2007
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsXerox (Canada)University of Waterloo
Fundersnot available
KeywordsMaterials scienceThin-film transistorOptoelectronicsDielectricGate dielectricSilicon nitrideTransistorSiliconElectron mobilityNitrideNanotechnologyElectrical engineeringVoltageLayer (electronics)

Abstract

fetched live from OpenAlex

The impact of film composition of silicon nitride (SiNx) gate dielectrics on the electrical performance of organic thin-film transistors (OTFTs) was investigated. Polythiophene OTFTs with SiNx dielectric, prepared using a series of interface modification processes, exhibited effective mobility of 0.09cm2∕Vs and on/off current ratio of 107. Overall improvement in mobility, on/off current ratio, and gate leakage current was observed as silicon content in SiNx increases. The results demonstrate the viability of using SiNx for OTFTs. The low temperature processing and large area deposition capabilities of SiNx hold great promise for integration of OTFT circuits for large area flexible electronic applications.

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 score0.140
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
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.192
Teacher spread0.184 · 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

Citations34
Published2007
Admission routes1
Has abstractyes

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