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Record W1988166675 · doi:10.1149/1.3162829

High Frequency Artifacts in Electrochemical Impedance Spectroscopy Measurements on PEM Fuel Cells

2009· article· en· W1988166675 on OpenAlexaff
Massimiliano Cimenti, Mickey Tam, Jürgen Stumper

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2009
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)
Fundersnot available
KeywordsMaterials scienceElectrical impedanceResistorProton exchange membrane fuel cellDielectric spectroscopyCapacitive sensingArc (geometry)Shunt (medical)AcousticsLow frequencyElectrodeVoltageElectrical engineeringMembraneElectrochemistryChemistryPhysicsEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

A capacitive arc with a peak frequency at 1–10 kHz is observed during impedance studies on proton exchange membrane (PEM) fuel cells when a shunt resistor is used for measuring the current. A few studies have reported this feature, but its cause has not been identified yet. In this work, correlations between the high frequency arc and the experimental setup are analyzed. Experimental results show that the high frequency arc is likely an experimental artifact caused by neglecting the frequency dependence of the shunt resistor. Methods to avoid this type of distortion and a simple correction procedure are presented.

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 categoriesMeta-epidemiology (narrow)
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 score1.000

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 integrity0.0000.001
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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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.

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

Citations8
Published2009
Admission routes1
Has abstractyes

Explore more

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