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Record W2089181743 · doi:10.1149/1.1579484

Electrochemical Characterization of Carbon Films with Porous Microstructures

2003· article· en· W2089181743 on OpenAlexaff
Gregory K. Kiema, Michael J. Brett

Bibliographic record

VenueJournal of The Electrochemical Society · 2003
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceX-ray photoelectron spectroscopyElectrodeCyclic voltammetryGlassy carbonScanning electron microscopeChemical vapor depositionMicrostructureThin filmRaman spectroscopyElectrochemistryCarbon fibersChemical engineeringCarbon filmAnalytical Chemistry (journal)PorosityNanotechnologyComposite materialChemistryOpticsOrganic chemistryComposite number

Abstract

fetched live from OpenAlex

This paper describes the structural and electrochemical characterization of porous carbon thin film electrodes formed via a recently developed film fabrication technique called glancing angle deposition (GLAD). The technique involves physical vapor deposition of thin films onto unheated substrates oriented at highly oblique angles to the vapor flux. The fabricated GLAD carbon thin film (GTF) electrodes have controllable porosity and microstructure on the 10 nanometer scale. The GTF surface structure was characterized by scanning electron microscopy, Raman spectroscopy, and X-ray photoelectron spectroscopy. Electrochemical response of the GTF electrodes was investigated by cyclic voltammetry using several redox probes with known kinetic behavior on carbon surfaces. GTF electrodes were compared to the commonly used glassy carbon (GC) electrodes in order to evaluate their electrochemical performance. Overall, the GTF electrodes exhibited well-defined, peak shape voltammograms for all the redox systems investigated. The results presented demonstrate that GTF surfaces show higher faradaic and background currents than polished GC. This is attributed to the large exposed surface area (63 cm2/cm2) of the porous film. © 2003 The Electrochemical Society. All rights reserved.

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 score0.385

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 head0.004
GPT teacher head0.215
Teacher spread0.211 · 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

Citations31
Published2003
Admission routes1
Has abstractyes

Explore more

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