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Record W2515826268 · doi:10.1149/1.3505463

CH<sub>3</sub>OH Oxidation Activities of an Unsupported Pt<sub>x</sub>Ru<sub>y</sub> Powder Catalyst before and after Different Electrochemical Treatments

2010· article· en· W2515826268 on OpenAlexaff
Kothandaraman Ramanujam, Christina Bock, B. MacDougall

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsCatalysisElectrochemistryX-ray photoelectron spectroscopyAdsorptionAlloyInorganic chemistryMaterials scienceChemistryNuclear chemistryElectrodeChemical engineeringMetallurgyOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

An unsupported Pt75Ru25 powder was synthesized by co-reducing the corresponding precursor salts rapidly. An alloy powder of Pt75Ru25 composition was formed in this manner. The catalyst powders were subjected to various electrochemical treatments in either 0.5 M H2SO4 or 0.5 M CH3OH + 0.5 M H2SO4 solutions. Applying specific electrochemical treatments in respect to time (e.g., the potential cycling number) relative to the E+ value result in either a decrease or increase in the CH3OH oxidation activity of this catalyst. The differently treated catalyst powders were further studied using EDX, XPS and CO adsorbed (COads) stripping voltamograms and transients. The results suggest that removal of surface Ru-oxides result in an increase in CH3OH electro-oxidation activity, while extensive loss of Ru from the catalyst surface results in a decrease in CH3OH oxidation activity. Refluxing this as-prepared catalyst powder in an excess of boiling 0.5 M H2SO4 did neither result in the removal of the surface Ru-oxides nor improve the CH3OH oxidation activity.

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 score0.018
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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