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Record W1999244540 · doi:10.1021/jp020770s

Electrochemical Polymerization and Characterization of Poly(3-(4-fluorophenyl)thiophene) in Pure Ionic Liquids

2002· article· en· W1999244540 on OpenAlexaff
Éric Naudin, Hoang Anh Ho, Stéphane Branchaud, Livain Breau, Daniel Bélanger

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2002
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsIonic liquidAcetonitrileTetrafluoroboratePolymerizationThiopheneSulfonylChemistryElectrochemistryPolymerInorganic chemistryPolymer chemistryCationic polymerizationCyclic voltammetryMaterials scienceOrganic chemistryPhysical chemistryElectrodeAlkyl

Abstract

fetched live from OpenAlex

The electrochemical oxidation of 3-(4-fluorophenyl) thiophene (FPT) at a platinum electrode in pure 1-ethyl-2,3-dimethylimidazolium bis ((trifluoromethyl)sulfonyl) amide, EDMITFSI, and 1,3-diethyl-5-methylimidazolium bis ((trifluoromethyl)sulfonyl) amide, DEMITFSI, yielded an electroactive polymer. This polymer (PFPT) was similar to that prepared from common nonaqueous media such as tetraethylammonium tetrafluoroborate/acetonitrile, but it was characterized by slower ion insertion kinetics. A rapid loss of electroactivity of the polymer was observed upon cycling in pure ionic liquid, and that was attributed to gradual deswelling of the polymer. X-ray photoelectron spectroscopy measurements demonstrated that the doping processes of PFPT when cycled in pure ionic liquid were similar to those occurring in acetonitrile-based electrolyte and involved the incorporation of the anions (TFSI - ) of the ionic liquid when the polymer was oxidized to the p-doped state. The expulsion of these anions and the incorporation of the ionic liquid cationic species were observed upon reduction of the polymer to the fully n-doped state.

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 integrity0.0000.001
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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

Citations124
Published2002
Admission routes1
Has abstractyes

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Same venueThe Journal of Physical Chemistry BSame topicIonic liquids properties and applicationsFrench-language works237,207