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Record W2322230158 · doi:10.1149/1.2356252

Palladium-Platinum Alloy Anode Catalysts for Direct Formic Acid Fuel Cells

2006· article· en· W2322230158 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2006
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsTekion (Canada)
Fundersnot available
KeywordsPalladiumPlatinumChronoamperometryFormic acidCatalysisCyclic voltammetryEthylene glycolMaterials scienceInorganic chemistryAlloyPlatinum nanoparticlesChemistryElectrochemistryMetallurgyElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The relationship between the composition of palladium-platinum alloy nanoparticles and their performance as electrocatalysts for formic acid electro-oxidation has been studied. Unsupported nanoparticle palladium-platinum alloys have been prepared by the co-reduction of palladium and platinum salts with ethylene glycol and characterized by X-ray diffraction (XRD). The electrocatalytic activities of the alloys were compared to that of pure platinum and palladium nanoparticle catalysts using cyclic voltammetry, chronopotentiometry, and chronoamperometry. The results reveal a synergetic effect of platinum and palladium as well as independent behaviour of the two metals for formic acid oxidation.

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.

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: none
Teacher disagreement score0.640
Threshold uncertainty score1.000

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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