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Record W2334750557 · doi:10.1149/06123.0033ecst

Estimation of Leakage Current in Proton Exchange Membrane Fuel Cells

2014· article· en· W2334750557 on OpenAlexaff
Seyed Mohammad Rezaei Niya, Ryan K. Phillips, Mina Hoorfar

Bibliographic record

VenueECS Transactions · 2014
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNyquist plotPolarization (electrochemistry)Ohmic contactProton exchange membrane fuel cellLeakage (economics)Analytical Chemistry (journal)ChemistryElectrical impedanceTafel equationMaterials scienceMembraneElectrical engineeringElectrodeDielectric spectroscopyChromatographyElectrochemistry

Abstract

fetched live from OpenAlex

In this study, the leakage current of a proton exchange membrane fuel cell is determined from the polarization curve and impedance measurements. The ohmic loss is specified from the high frequency resistance in the Nyquist plot. The polarization curve is then rotated counter-clockwise to nullify the effects of the ohmic loss. Considering the negligible mass transport loss in low current densities, the activation loss is then determined as a function of the current density. Employing the Tafel assumption, the leakage current can be determined from the best logarithmic fit. The method is then experimentally verified by measuring the polarization curves and Nyquist plots of a cell including the Nafion 212 as the membrane. Tests are conducted using four different gas diffusion layers for all of which the same current leakage is obtained.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.207
Teacher spread0.200 · 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 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

Citations4
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueECS Transactions→Same topicFuel Cells and Related Materials→French-language works237,207→