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Record W2727856426 · doi:10.1149/08008.1085ecst

Analysis of Inkjet Printed Polymer Electrolyte Electrolyzer Electrodes

2017· article· en· W2727856426 on OpenAlexafffund
Manas Mandal, Antoni Valls, Niklas Gangnus, Marc Secanell

Bibliographic record

VenueECS Transactions · 2017
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceElectrolysisAnodeScanning electron microscopeElectrolyteElectrodeChemical engineeringCyclic voltammetryFabricationLayer (electronics)MembraneCatalysisNanotechnologyElectrochemistryComposite materialChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Inkjet printing (IJP) is studied as a novel fabrication method for catalyst coated membranes (CCMs) for polymer electrolyte electrolyzers. Compared to traditional fabrication methods, such as ultrasonic spray and doctor blade, inkjet's drop-by-drop deposition allows for accurate deposition control, enabling the fabrication of low loading, conventional loading, patterned electrodes, while reducing catalyst waste. CCMs were prepared by IJP by depositing IrO2 and Pt/C inks over the membrane to fabricate anode and cathode electrodes respectively. The anode catalyst layer morphology was analyzed using an optical microscope and scanning electron microscopy (SEM) for surface and thickness characterization. SEM images show the catalyst layer is uniform and well adhered to the membrane. Hydrogen crossover and cyclic voltammetry (CV) tests were performed to estimate hydrogen cross-over, and double layer capacitance. Electrochemical performance tests showed that inkjet printed catalyst coated electrolyzer membranes fabricated achieved 1 and 2 A/cm2 current densities at potentials of 1608 and 1694 mV (NRE211) and average of 1743 and 1994 mV (N117) respectively. These results outperform most previously reported electrolyzer data in the literature using commercial IrO2 catalyst and suggest that IJP can be used to fabricate electrolyzer electrodes with excellent performance and minimal catalyst wastage.

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), Insufficient payload (model declined to judge)
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 score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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