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Record W2077932545 · doi:10.1002/cjce.21973

Facile one step‐synthesis and characterisation of high aspect ratio core‐shell copper‐polyaniline nanowires

2014· article· en· W2077932545 on OpenAlexafffundvenue
Ali Sarvi, Genaro A. Gelves, Uttandaraman Sundararaj

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2014
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Calgary
KeywordsPolyanilineNanowireCopperMaterials scienceCore (optical fiber)Shell (structure)NanotechnologyChemical engineeringMetallurgyComposite materialPolymerEngineering

Abstract

fetched live from OpenAlex

Metal nanowire/polyaniline core‐shell nanoparticles have significant potential for the development of materials for electrostatical dissipation, electromagnetic interference shields, chemical and biological sensors, charge and hydrogen storage. In this study, the synthesis of novel core‐shell nanostructures of polyaniline‐coated copper nanowires (PANI/CuNWs) is presented. CuNWs of 25 nm in diameter and several microns in length were synthesised using hard template method and were subsequently coated with doped or undoped polyanilines to obtain high aspect ratio core‐shell nanoparticles. SEM, TEM, XPS and electrical conductivity measurements were used to characterise these novel nanomaterials. TEM characterisation showed a smooth polyaniline nanocoating of about 6 nm in thickness over the CuNW surface. The thickness of the coating can be controlled by changing PANI concentration in the solution. XPS results indicate that spontaneous adsorption of polyaniline results from the strong surficial interaction between copper atoms at the nanowire surface and imine groups in the polyaniline backbone.

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 score0.002
Threshold uncertainty score0.276

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 head0.016
GPT teacher head0.195
Teacher spread0.180 · 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

Citations10
Published2014
Admission routes3
Has abstractyes

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