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Record W2610283919 · doi:10.1149/07801.2051ecst

Fabrication of Metal Supported Solid Oxide Fuel Cells (MS-SOFC) with Ceria and Zirconia Based Electrolytes

2017· article· en· W2610283919 on OpenAlexaff
Sannan Yousaf Toor, Eric Croiset

Bibliographic record

VenueECS Transactions · 2017
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceSinteringScanning electron microscopeSolid oxide fuel cellPorosityCubic zirconiaOxideCeramicAnodeConductivityElectrolyteInertMetallurgyPolarization (electrochemistry)CermetChemical engineeringComposite materialElectrodeChemistry

Abstract

fetched live from OpenAlex

Metal supported solid oxide fuel cells (MS-SOFCs) were fabricated using wet ceramic processing technique. Stainless steel 430 L was characterized for porosity and electrical conductivity to be used as the porous support. D.C. polarization and Archimedes method based on ASTM Standard C373-88 were used for conductivity and porosity measurements respectively. As a benchmark, conductivity of metal support was set to be at least equal to that of anode and the porosity was kept between 35-40%. It was observed that physical properties including shrinkage behavior and CTE are two critical parameters to control during the co-sintering of metal support and electrochemical layers. A combination of inert and reducing atmosphere was also used during sintering of the cell to prohibit any oxidation of stainless steel. Cell characterization was based on visual observation (primarily cell warping or not) and scanning electron microscopy (SEM).

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 categoriesInsufficient 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 score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.261
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

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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

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