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Record W2024773470 · doi:10.1149/1.2719632

Ex situ Evaluation of Tungsten Oxide as a Catalyst Support for PEMFCs

2007· article· en· W2024773470 on OpenAlexafffund
H. Chhina, Stephen Campbell, Olivera Kesler

Bibliographic record

VenueJournal of The Electrochemical Society · 2007
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of British ColumbiaBallard Power Systems (Canada)
FundersNatural Sciences and Engineering Research Council of CanadaBallard Power Systems
KeywordsTungstenCatalysisProton exchange membrane fuel cellOxideMaterials scienceElectrochemistryInorganic chemistryChemical engineeringCatalyst supportCoatingChemistryElectrodeMetallurgyNanotechnology

Abstract

fetched live from OpenAlex

The oxidation of carbon catalyst supports causes acute degradation in catalyst performance in proton exchange membrane fuel cells (PEMFCs). Tungsten oxide is considered here as a candidate material as an alternative catalyst support. A new method has been developed that allows Pt deposition on tungsten oxide catalyst supports. The electrochemical stability of tungsten oxide was studied by applying a coating of a tungsten-oxide-supported Pt catalyst to a rotating disk electrode and to a gold mesh. Accelerated oxidation tests were performed in deoxygenated at 30 and . The oxidation stability of Pt/tungsten oxide and of Hispec 4000, a commercial catalyst, each coated on a gold mesh, was measured at . The oxygen reduction reaction (ORR) activity of Pt/tungsten oxide remained high, even after accelerated oxidation tests, while the ORR activity was extremely poor after accelerated oxidation tests of Hispec 4000.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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.

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

Citations116
Published2007
Admission routes2
Has abstractyes

Explore more

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