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Record W2299985296 · doi:10.1149/06917.1341ecst

Influence of MPL Structure Modification on Fuel Cell Oxygen Transport Resistance

2015· article· en· W2299985296 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 · 2015
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)
Fundersnot available
KeywordsOxygenKnudsen diffusionMicroporous materialPermeationDiffusionChemical engineeringOxygen transportChemistryIonomerMaterials scienceLimiting currentCathodeComposite materialElectrodeMembranePorosityElectrochemistryPolymerOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

In this work the dependence of limiting current on gas pressure and temperature was measured to separate the oxygen transport resistance into its components: molecular diffusion resistance in the gas diffusion layer (GDL) and resistance in the catalyst layer (CL), which comprises Knudsen diffusion resistance and oxygen permeation resistance through ionomer. The effect of microporous layer (MPL) modification by laser perforation on the oxygen transport resistances was investigated. The resistance in CL contributed a significant portion, about one quarter, to the total oxygen transport resistance. A trend of decreasing CL resistance with increasing temperature was observed. This temperature effect was mainly attributable to the oxygen permeation in CL ionomer. The MPL modification had little influence on the total transport resistance as well as its individual component for the cells under dry operation, while the perforated MPL significantly reduced the transport resistance when water starts to condense in electrode. This finding indicated that the MPL plays important roles in the cathode water management.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.390

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 head0.199
Teacher spread0.188 · 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