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Record W3091960763

Membrane durability in PEM fuel cells

2001· article· en· W3091960763 on OpenAlexvenueno aff
W Liu, K. Ruth, Gabrielle Rusch

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2001
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsMembraneDurabilityProton exchange membrane fuel cellPinhole (optics)Materials scienceMembrane electrode assemblyFluorideComposite materialElectrodeChemical engineeringChemistryEngineeringAnodePhysicsBiochemistryOptics
DOInot available

Abstract

fetched live from OpenAlex

Results of an extensive research project aimed at meeting the demand for a long lifetime of the membrane electrode assembly (MEA) in the PRIMEA(R) MEA Series 5600 are described. Accelerated fuel cell life tests were performed to understand the factors that may influence the durability of the membranes. Results showed that the most significant effect was mechanical strength of the membrane, i.e. whether the membrane was of the reinforced or non-reinforced type. GORE-SELECT(R) membranes were shown to have exhibited lifetimes of one to three orders of magnitude longer than non-reinforced membranes of comparable thickness. Membrane failure characteristics, as shown by an increase in hydrogen crossover, were also shown to be significantly different: non-reinforced membranes exhibited immediate sudden failure, whereas GORE-SELECT(R) membranes showed gradual increases in gas crossover until pinhole failures. Membrane failure was also found to be highly localized in the testing hardware, as measured by fluoride release analysis of the product water. Based on these results, a GORE-SELECT(R) membrane technology was selected as the new membrane in the PRIMEA(R) MEA Series 5600 product which has been targeted for the commercial residential and stationary PEM fuel cell markets. Combined with Gore's electrode technology, PRIMEA(R) MEAs are able to provide a unique combination of power density and lifetime. 1 ref., 1 tab., 7 figs.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations81
Published2001
Admission routes1
Has abstractyes

Explore more

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