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Record W2005274060 · doi:10.1149/05701.0491ecst

Progress in Metal-Supported SOFCs Using Hydrogen and Methane Fuels

2013· article· en· W2005274060 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.

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMethaneMaterials scienceFabricationHydrogenSinteringAnodeDurabilityChemical engineeringHydrocarbonChromiumMetalMetallurgyComposite materialElectrodeChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Metal-supported SOFCs with power densities above 700 mW/cm 2 at 750 o C were fabricated by atmospheric plasma spraying, which can be readily automated and scaled for larger cell areas and production volumes, with no cell sintering requirement. Porous stainless steel substrates were dip-coated to protect against oxidation and chromium loss, followed by fabrication of the functional layers. Preliminary performance in hydrogen was found to be stable for 200 hours, with longer durability tests ongoing. Cells with modified anodes can achieve performances close to those of standard cells operating in hydrogen, with no evidence of coking in TGA methane experiments. Fabrication of anodes for hydrocarbon fuels and the results of scaling up from button cells to 5cm x 5cm cells are discussed.

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 score0.039
Threshold uncertainty score0.823

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 head0.011
GPT teacher head0.215
Teacher spread0.204 · 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