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Record W2326439773 · doi:10.1149/1.2781016

Modelling of Carbon Corrosion in a PEMFC caused by Local Fuel Starvation

2007· article· en· W2326439773 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueECS Transactions · 2007
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Victoria
FundersMitacsBallard Power Systems
KeywordsElectrolyteCorrosionProton exchange membrane fuel cellCathodic protectionCarbon fibersMaterials scienceConductivityKineticsPermeability (electromagnetism)Carbon steelChemistryChemical engineeringCatalysisInorganic chemistryMetallurgyComposite materialMembraneElectrodeElectrochemistryOrganic chemistryComposite numberPhysical chemistry

Abstract

fetched live from OpenAlex

A two-dimensional, along-the-channel model to predict the carbon corrosion for a cathodic catalyst layer of a PEM fuel cell with a starvation zone is reported. The model is able to capture the abrupt decrease of electrolyte potential along the interface of normal and starvation zone, as reported by Reiser et al. (1). Our simulation results show that at higher operational potentials, lower protonic conductivity of the electrolyte, faster carbon corrosion kinetics and higher oxygen permeability will result in higher carbon corrosion rate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score0.321

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 head0.011
GPT teacher head0.194
Teacher spread0.183 · 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