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Record W2889085712 · doi:10.14447/jnmes.v18i1.383

Capacitance Properties of Electrodeposited Polyaniline Films on Stainless Steel Substrate

2015· article· en· W2889085712 on OpenAlexvenueno aff
A. A. Al-Owais, Ibrahim S. El-Hallag, Mohamed A. Ghanem, E.H. El‐Mossalamy

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2015
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
Fundersnot available
KeywordsPolyanilineCyclic voltammetryCapacitanceMaterials scienceSubstrate (aquarium)ElectrochemistryAnilineElectrodeChemical engineeringPolyaniline nanofibersComposite materialChemistryPolymerOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Polyaniline (PANI) thin films were successfully synthesized from a mixed solution of 1M aniline and two different concentration solutions of H2SO4 on a stainless steel substrate. The capacitance properties of polyaniline (PANI) films, have been determined and examined in the selected media of two different concentrations of H2SO4 acid using cyclic volammetry technique. Cyclic voltammetric measurements have shown that PANI films grown by cycling the potential between -0.2V and 1 V in 1M H2SO4 and 2M H2SO4 on SS electrode. The electrochemical characterization of the electrode was carried out by means of cyclic voltammetry. The results show that polyaniline has a high specific capacitance of 702.1 F.g-1 and 810.5 F.g-1 at 10 mV s-1 in 1M H2SO4 and 2M H2SO4 respectively. This indicates that the promising feasibility of the polyaniline used as an electrochemical capacitor material in the sulphuric acid solutions.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.052
GPT teacher head0.268
Teacher spread0.215 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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