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Record W2607327878

Investigation of Some New Palladium Alloys Catalysts for the Oxygen Reduction Reaction in an Acid Medium

2004· other· en· W2607327878 on OpenAlexaff
O. Savadogo, K. Lee, Shigenori Mitsushima, Noriho Kamiya, Kazutaka Ota

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2004
Typeother
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsCatalysisAlloyPalladiumPlatinumMethanolElectrochemistryMaterials scienceCorrosionInorganic chemistryLeaching (pedology)Chemical engineeringChemistryMetallurgyElectrodePhysical chemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Active palladium-based alloys catalysts without platinum for the Oxygen Reduction Reaction (ORR) in an acid medium were shown for the first time. The catalysts were fabricated by sputtering method on a glassy carbon support and their electrochemical characteristics for the ORR were determined at 300C in sulphuric acid. with and without methanol. It was demonstrated that the base voltammograms (CVs) of Pd-Co alloys did not show significant change in the shape or size during the whole measurements procedure . Furthermore the Pd-Co alloy CV were found to be completely different from those of Pd and Co alone and they never changed to become more Pd-like or Co-like. The Pd-Co alloy catalysts are stable under the applied experimental conditions and no leaching out of the alloying Co atoms takes place. It was further demonstrated that an improvement of, at least, 250 mV in ORR over-voltage could be obtained if a Pd-Co28% catalyst is used instead of Pt for PEFC or acid Solid Polymer Electrolyser Applications. When compared to platinum, a significant improvement of the ORR was obtained on non-optimised Pd-alloys in an acid medium containing methanol. The interesting properties of the Pd-alloys for the ORR were attributed to an appropriate electronic stabilisation of the alloying element atom in the alloy which may prevent its corrosion and which allows the enhancement of its catalytic activity due to a bi-functional and/or co-catalytic behaviour of the alloying element.

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)0.001
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 score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

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