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Record W2006639506 · doi:10.1149/1.2798870

Theoretical Performance Analysis of Microstructured Air-Breathing Fuel Cells

2007· article· en· W2006639506 on OpenAlexafffund
Shawn Litster, Ned Djilali

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2007
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Victoria
FundersUniversity of Victoria
KeywordsMaterials scienceMembraneElectrolytePower densityPlanarCathodeProton exchange membrane fuel cellConductivityHumidityPolymerThermal conductionFuel cellsChemical engineeringComposite materialElectrodePower (physics)Electrical engineeringChemistryThermodynamicsComputer science

Abstract

fetched live from OpenAlex

We present a theoretical analysis of an air-breathing polymer electrolyte membrane fuel cell that has a microstructured architecture and compare its performance to a fuel cell with a traditional planar arrangement. Air-breathing fuel cells exhibit unique performance characteristics due to a membrane dehydration regime associated with operation at higher current density and temperature. Our model features a membrane conductivity correlation that is applicable for low humidity and a finite-thickness model of the cathode catalyst layer that resolves ionic conduction. The analysis predicts a volumetric power density for the microstructured architecture that is greater than that for the planar arrangement.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.002
GPT teacher head0.179
Teacher spread0.177 · 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 designSimulation or modeling
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

Citations3
Published2007
Admission routes2
Has abstractyes

Explore more

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