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Record W2027418450 · doi:10.1039/b800507a

Poly(3,4-ethylenedioxythiophene)–clay nanocomposites

2008· article· en· W2027418450 on OpenAlexaff
Sadok Letaı̈ef, Pîlar Aranda, Rocío Fernández-Saavedra, James C. Margeson, Christian Detellier, Eduardo Ruiz‐Hitzky

Bibliographic record

VenueJournal of Materials Chemistry · 2008
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsNational Research Council CanadaUniversity of Ottawa
Fundersnot available
KeywordsIntercalation (chemistry)PEDOT:PSSNanocompositeMaterials sciencePoly(3,4-ethylenedioxythiophene)MontmorilloniteChemical engineeringPolystyrene sulfonateConductive polymerPolymerizationSulfonateFourier transform infrared spectroscopyPolymer chemistryIn situ polymerizationDispersion (optics)PolymerComposite materialChemistryInorganic chemistrySodium

Abstract

fetched live from OpenAlex

Polymer–clay nanocomposites based on poly(3,4-ethylenedioxythiophene) (PEDOT) and montmorillonite were synthesized and characterized. Three different syntheses have been explored: (i) intercalation of 3,4-ethylenedioxythiophene (EDOT) and in situpolymerization, (ii) clay expansion and in situ oxidative polymerization of EDOT, and (iii) direct intercalation of PEDOT from an aqueous dispersion of it doped with polystyrene sulfonate (PEDOT–PSS). The nanocomposites were characterized by various physicochemical techniques, XRD, FTIR, DTA-TG, CHN elemental analysis and SEM. The electrical behaviour of the resulting materials was analyzed by EIS. The dependence of the electrical properties on synthetic procedures has been evidenced as the materials prepared by method (ii) with intercalated and extra-framework PEDOT were the ones which showed better electrical conductivity.

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 categoriesInsufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score0.998

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)0.0030.000

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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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

Citations47
Published2008
Admission routes1
Has abstractyes

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