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Record W2466725761 · doi:10.1149/200507.0482pv

Fabrication of Cathode Supported SOFC by Colloidal Processing

2005· article· en· W2466725761 on OpenAlex
Jean Duquette

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 Proceedings Volumes · 2005
Typearticle
Languageen
FieldEngineering
TopicElectrophoretic Deposition in Materials Science
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsMaterials scienceCathodeElectrophoretic depositionAnodeYttria-stabilized zirconiaElectrolyteTape castingSolid oxide fuel cellComposite materialFabricationCoatingChemical engineeringCeramicElectrodeChemistry

Abstract

fetched live from OpenAlex

Electrophoretic deposition (EPD) has been used to grow thin films of solid oxide fuel cell components on a porous cathode support. EPD exploits a surface charge on particles in a stable suspension migrating in the presence of an appropriate electric field to effect the consolidation of particles onto any shaped substrate. In this investigation, both flat and tubular supports have been used. Both types of supports were fabricated using tape casting followed by lamination. Suspension chemistries containing LSM-YSZ, YSZ and NiO-YSZ have been standardized. The thickness of the films as developed for the cathode functional layer, electrolyte, and anode were 15, 5 and 50 μm respectively. The electrophoretically deposited coatings resulted in high quality, crack-free green (unfired) films and even after firing the surface remained smooth, continuous and homogeneous.

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 score0.030
Threshold uncertainty score0.563

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 head0.004
GPT teacher head0.205
Teacher spread0.200 · 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