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Record W2132286467 · doi:10.1149/1.3502346

Investigation of Proton Transport in the Catalyst Layer of PEM Fuel Cells by Electrochemical Impedance Spectroscopy

2010· article· en· W2132286467 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 · 2010
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)
Fundersnot available
KeywordsDielectric spectroscopyProton exchange membrane fuel cellProtonOhmic contactMaterials scienceElectrical impedanceCatalysisConductivityElectrochemistryProton transportCathodeLayer (electronics)Analytical Chemistry (journal)Chemical engineeringChemistryComposite materialElectrodeChromatographyElectrical engineeringPhysical chemistryEngineering

Abstract

fetched live from OpenAlex

The proton conductivity of the catalyst layer is an essential parameter for the design and optimization of PEM fuel cells cathodes. Few methods have been proposed to measure this quantity. In this study we tested two methods based on electrochemical impedance spectroscopy (EIS) measurements performed in H2/N2 and in H2/O2, respectively. The EIS H2/N2 method allows the quantification of the CL proton resistance at equilibrium, and in principle could be used to obtain catalyst layer microstructural information. The EIS H2/O2 method allows the quantification of both ohmic and CL proton resistances under load. According to our results, the EIS H2/N2 method is preferable because it is faster to perform, the data analysis is simpler, and provides the CL resistance at equilibrium.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.300

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 head0.005
GPT teacher head0.194
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