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Record W2324705483 · doi:10.1149/1.3570166

Fabrication of Direct Oxidation Solid Oxide Fuel Cell Anodes Using a Novel Atmospheric Plasma Spraying Technique

2011· article· en· W2324705483 on OpenAlex
Mark Cuglietta, Olivera Kesler

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 · 2011
Typearticle
Languageen
FieldMaterials Science
TopicCopper-based nanomaterials and applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials sciencePorosityCoatingMicrostructureAtmospheric-pressure plasmaSuspension (topology)Deposition (geology)FabricationPlasmaOxideComposite numberSolid oxide fuel cellDispersion (optics)Chemical engineeringThermal sprayingComposite materialAnodeMetallurgyElectrodeOptics

Abstract

fetched live from OpenAlex

Composite coatings of CuO and samaria-doped ceria (SDC) have been fabricated by atmospheric plasma spraying using a combination of suspension and dry-powder plasma spray techniques. The coatings prepared using this novel hybrid technique demonstrate a finer microstructure than similar coatings prepared using conventional dry-powder methods. The coatings consist of fully-melted and partially-melted phases of both CuO and SDC. During deposition, a large portion of the CuO was reduced to Cu2O. The influence of processing conditions on deposition efficiency and porosity were investigated, with a plasma power of 77 kW leading to a maximum in coating porosity. Improvement of the dispersion of the CuO suspension by adjusting the pH led to a finer network of CuO particles in the fabricated coating.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.949

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)0.0010.000

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 head0.034
GPT teacher head0.250
Teacher spread0.216 · 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