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Record W2317932848 · doi:10.1149/1.3414016

Microstructural Characterization of Mn Oxide/PEDOT Electrodes with Rod-Like Structures for Application as Electrochemical Capacitors

2010· article· en· W2317932848 on OpenAlexafffund
Banafsheh Babakhani, Douglas G. Ivey

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials sciencePEDOT:PSSElectrodeCapacitanceElectrochemistryOxideChemical engineeringScanning electron microscopeElectrolytePolymerNanotechnologyComposite materialChemistryMetallurgy

Abstract

fetched live from OpenAlex

Mn oxide/PEDOT coaxial core/shell electrodes were electrochemically synthesized without any catalysts or templates using a stepwise synthetic approach. Mn oxide (1-1.5 µm diameter) rods were first synthesized by anodic deposition from a 0.01M Mn acetate solution, then coated electrochemically with a conducting polymer (PEDOT). The morphology of the electrodes depended on the pH of the electrolyte, deposition potential, current density and polymer deposition time, which affect the electrochemical behavior of the capacitor. The capacitive properties of the deposits were investigated in terms of morphological and structural evolution by characterization using scanning electron microscopy (SEM). The Mn oxide/PEDOT electrodes showed significantly improved specific capacity and charge/discharge stability relative to uncoated Mn oxide electrodes with rod-like structures. The best specific capacitance for Mn oxide/PEDOT coaxial rods produced sequentially was remarkably high (~285 Fg−1). Also, after 250 cycles in 0.5M Na2SO4 at 20 mVs−1, specific capacitance retention was 92% of the original value.

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 score0.106
Threshold uncertainty score0.610

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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