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Record W2322751108 · doi:10.1149/06403.0341ecst

Effect of Electrode Patterning on PEM Fuel Cell Performance using Ink-Jet Printing Method

2014· article· en· W2322751108 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueECS Transactions · 2014
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Alberta
FundersCanada School of Energy and EnvironmentNatural Sciences and Engineering Research Council of CanadaEnergy Foundation
KeywordsElectrodeMaterials scienceLimiting currentLimitingInkwellOptoelectronicsPolarization (electrochemistry)NanotechnologyFuel cellsInkjet printingComposite materialChemical engineeringMechanical engineeringChemistryElectrochemistryEngineering

Abstract

fetched live from OpenAlex

The suitability of inkjet printing technology for patterning fuel cell electrodes was investigated. A study on resolution of the inkjet printer showed that micro-scale distinguishable patterns can be fabricated within a spacing of 300 microns. The performance of the patterned and non-patterned electrodes were compared from the polarization plot obtained at a cell temperature of 80 ◦ C and 70% RH with an estimated cathodic loading of 0.075 mg/cm 2 . Preliminary results show that under the current operating conditions, not much change in performance is observed, however the patterned electrodes have the potential to achieve higher limiting currents when the masstransport effects are dominant and is being currently investigated.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.525

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 head0.217
Teacher spread0.212 · 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