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Record W2056619061 · doi:10.1039/c3cc43920h

Unsorted single walled carbon nanotubes enabled the fabrication of high performance organic thin film transistors with low cost metal electrodes

2013· article· en· W2056619061 on OpenAlexaff
Chad S. Smithson, Shiping Zhu, Tony J. Wigglesworth, Yiliang Wu

Bibliographic record

VenueChemical Communications · 2013
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsXerox (Canada)McMaster University
Fundersnot available
KeywordsMaterials scienceCarbon nanotubeElectrodeThin-film transistorFabricationTransistorOptoelectronicsNanotechnologySemiconductorOrganic semiconductorMetalLayer (electronics)VoltageMetallurgyChemistryElectrical engineering

Abstract

fetched live from OpenAlex

Transistors with a diketopyrrolopyrrole-quarterthiophene (DPP-QT) semiconductor and low-cost Al or Cu electrodes were studied. Albeit a large charge injection resistance exists between DPP-QT and Al or Cu, the resistance was dramatically reduced when unsorted single walled carbon nanotubes (SWCNTs) were blended into the DPP-QT film. This led to a high mobility of 0.64 and 1.1 cm(2) V(-1) s(-1), respectively, for Al and Cu devices, which is similar or even better than the device using gold electrodes (0.78 cm(2) V(-1) s(-1)).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.178
Teacher spread0.171 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2013
Admission routes1
Has abstractyes

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