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Record W2126878689 · doi:10.1149/1.2454366

Cu[sub x]Co[sub 3−x]O[sub 4] Used as Bifunctional Electrocatalyst

2007· article· en· W2126878689 on OpenAlexafffund
Mathieu De Koninck, Simon-Claude Poirier, Benoı̂t Marsan

Bibliographic record

VenueJournal of The Electrochemical Society · 2007
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaSvenska Forskningsrådet FormasUniversité du Québec à Montréal
KeywordsOverpotentialElectrocatalystCobalt oxideBifunctionalChemistryInorganic chemistryOxideCarbon blackGlassy carbonSpinelCarbon fibersElectrodeCobaltComposite numberElectrochemistryMaterials scienceCatalysisPhysical chemistryComposite materialCyclic voltammetryOrganic chemistry

Abstract

fetched live from OpenAlex

Composite film electrodes containing mechanically mixed or particles, carbon-black Vulcan XC-72R, and poly(vinylidene fluoride-co-hexafluoropropylene) (PVdF-HFP) were formed on the glassy carbon disk surface of a rotating ring-disk electrode (RRDE) and studied for the oxygen reduction reaction (ORR) in -saturated solution. The highest current densities were observed with and they increased with the oxide content in the film, hence clearly demonstrating the excellent intrinsic electrocatalytic activity of for this reaction. The results also showed that is a better electrocatalyst than with higher current densities and a greater number of electrons exchanged per molecule. It was found that the copper–cobalt spinel oxide component favors a total of in the oxygen reduction process. At the -based composite electrode, direct reduction of into ions (rate constant ) and the peroxide pathway (formation of ions and their reduction into ions, rate constants and ) are proceeding in parallel, with a ratio that increases with the overpotential when the oxide content is greater than 23.5%. At the -based composite electrode, is very weak with a ratio that decreases rapidly with the overpotential.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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.

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

Citations59
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicElectrocatalysts for Energy ConversionFrench-language works237,207