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Record W2087839376 · doi:10.1149/1.1857112

Electrochemical Oxidation of Methanol at Hydrogen-Loaded PdPtRu-Coated Pd Electrodes

2005· article· en· W2087839376 on OpenAlexafffund
Omar Yépez, Peter G. Pickup

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2005
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaMemorial University of Newfoundland
KeywordsMethanolElectrochemistryFormaldehydeHydrogenElectrodeCatalysisInorganic chemistryAdsorptionReversible hydrogen electrodeHydrogen productionChemistryMaterials scienceWorking electrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The influence of hydrogen deliberately occluded (absorbed) into a Pd electrode coated with a PdPtRu catalyst on the electrochemical oxidation of methanol in an acidic medium is reported. It was found that it is possible to oxidize methanol at very low potentials in the presence of occluded hydrogen, where control experiments showed insignificant activity. This indicates a strong diminution of poisoning of the electrode by adsorbed CO. The consumption of hydrogen during the electro-oxidation of methanol was much less than 0.6 mol of H per mol of oxidized methanol, indicating that the occluded hydrogen has a catalytic effect. Formaldehyde production was found to be lower than at a hydrogen-free electrode. © 2005 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 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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.216
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.

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

Citations16
Published2005
Admission routes2
Has abstractyes

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