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Record W1967005937 · doi:10.1149/1.2214513

Water Management and Mass Transport Studies in Free Convection Proton-Exchange Membrane Fuel Cells

2006· article· en· W1967005937 on OpenAlexaff
Dean Modroukas, Vijay Modi, Luc G. Fréchette, Scott Calabrese Barton

Bibliographic record

VenueECS Transactions · 2006
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsWettingMaterials scienceProton exchange membrane fuel cellTest fixtureMass transferChemical engineeringMicroelectromechanical systemsSiliconNanotechnologyComposite materialFuel cellsOptoelectronicsChemistryMechanical engineeringChromatography

Abstract

fetched live from OpenAlex

This investigation addresses water management and mass transport phenomena for low temperature (<40{degree sign}C), free convection PEM fuel cells that have been studied using novel microfabricated structures. Tailored mass transfer media (TMTM) were fabricated using microelectromechanical systems (MEMS) techniques applied to low resistivity silicon. These structures were tailored with discrete wetting/non-wetting features to effectively manage liquid water distribution within the cell and simultaneously provide unobstructed gas transport to/from the catalyst layer. The TMTM were based on a micromachined hydrophobic silicon mesh comprised of 140μm square pores with discrete sets of zones engineered to be hydrophilic using a carbon-polyethylene oxide treatment. These structures were tested with and without treatments in a single-cell test fixture for temperature from 25{degree sign} to 40{degree sign}C operating on ambient air. For all test conditions, the treated versus untreated structure performance showed limiting current increases that ranged from 32% to 88%.

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)0.000
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 score0.566
Threshold uncertainty score0.461

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 head0.200
Teacher spread0.189 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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