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Record W2323923683 · doi:10.1149/1.3702861

Evaluation of Anode Electrode Materials for Cu-Cl/HCl Electrolyzers for Hydrogen Production

2012· article· en· W2323923683 on OpenAlex
S. Ranganathan, Patrick S. Edge, E. Bradley Easton

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 · 2012
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of CanadaAtomic Energy of Canada Limited
KeywordsElectrolysisDielectric spectroscopyHydrogen productionAnodeCyclic voltammetryMaterials scienceElectrochemistryElectrodeElectrolyteChemical engineeringScanning electron microscopeCarbon fibersHydrogenElectrolysis of waterConductivityElectrolytic processInorganic chemistryCeramicChemistryMetallurgyComposite materialOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Ceramic carbon electrodes (CCE) containing poly aminopropyl siloxane (PAPS) were fabricated by the sol-gel method. These CCEs have previously been shown to exhibit high performance towards the anode reaction of the electrolytic process used in the Cu-Cl thermochemical cycle for hydrogen production, with optimal performance being achieved at 36 wt% PAPS. Using cyclic voltammetry, electrochemical impedance spectroscopy, and scanning electron microscopy, the peak performance at 36 wt% PAPS was explained in terms of the optimization of carbon surface area, anionic transport and electronic conductivity. In addition, we also demonstrated the electrolysis performance in the full cell.

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)0.002
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 score0.067
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.024
GPT teacher head0.272
Teacher spread0.248 · 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