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Record W1573402474 · doi:10.1002/mame.201300354

In Situ Doped Polyaniline Nanotubes for Applications in Flexible Conductive Coatings

2014· article· en· W1573402474 on OpenAlexaff
Sarang P. Gumfekar, Wenjie Wang, Boxin Zhao

Bibliographic record

VenueMacromolecular Materials and Engineering · 2014
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolyanilineMaterials scienceDopantPolyaniline nanofibersElectrical conductorConductive polymerDopingAnilineChemical engineeringCoatingPolyvinyl alcoholMonomerPolymer chemistryNanotechnologyComposite materialPolymerOrganic chemistryPolymerizationChemistryOptoelectronics

Abstract

fetched live from OpenAlex

Abstract In‐situ doped polyaniline nanotubes were fabricated and investigated in term of their morphological, thermal and electrical properties at varied doping levels. Different from the common post‐doping of polyaniline base to form its emeraldine salt, the aniline monomers were directly converted into conductive emeraldine salt during synthesis by dropwise addition of the dopant and oxidants. This process resulted in a uniform and stable protonation of the polyaniline with good electrical conductivity. Furthermore, it was found that the crystalline conductive polyaniline nanotubes have a good flexibility when amalgamated with polyvinyl alcohol, showing their potential as flexible conductive coating materials.

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 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 score0.011
Threshold uncertainty score0.552

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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.

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

Citations8
Published2014
Admission routes1
Has abstractyes

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