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Record W2025458726 · doi:10.1149/1.2018207

Oxygen Reduction by Sol-Derived Pt∕Co-Based Alloys for PEM Fuel Cells

2005· article· en· W2025458726 on OpenAlexafffund
Jeff N. Soderberg, Aislinn H. C. Sirk, Stephen Campbell, Viola Birss

Bibliographic record

VenueJournal of The Electrochemical Society · 2005
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsBallard Power Systems (Canada)University of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaBallard Power SystemsUniversity of Calgary
KeywordsProton exchange membrane fuel cellCatalysisCyclic voltammetryOxideElectrochemistryAlloyOxygenRotating disk electrodeCarbon fibersInorganic chemistryChemistryMaterials scienceCarbon monoxideChemical engineeringElectrodeOrganic chemistryComposite materialPhysical chemistry

Abstract

fetched live from OpenAlex

A route toward the synthesis of several -based catalysts for the oxygen reduction reaction (ORR) in proton exchange membrane (PEM) fuel cells is described here. The composition of these catalysts has been determined by X-ray diffraction studies, while their electrochemical activity was established using slow sweep cyclic voltammetry in 0.5 M at room temperature. We have found that by mixing a Co oxide sol precursor with Pt supported on carbon , followed by heat-treatment at 700 or 900°C, the active PtCo alloy catalyst is formed. In contrast, when exactly the same procedure is followed but a Co oxide sol-derived catalytic material is employed, alloy catalysts, which are somewhat less active toward the ORR, are formed. Catalysts formed by heating at 900°C are more active than those formed at 700°C, and all of our catalysts are more active toward the ORR than pure Pt on carbon.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.221
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), 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

Citations36
Published2005
Admission routes2
Has abstractyes

Explore more

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