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Record W2077676277 · doi:10.1149/2.055206jes

Ni Modified WC-Based Anode Materials for Direct Methane Solid Oxide Fuel Cells

2012· article· en· W2077676277 on OpenAlexafffund
Alireza Torabi, Thomas H. Etsell

Bibliographic record

VenueJournal of The Electrochemical Society · 2012
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnodeMaterials scienceMethaneSolid oxide fuel cellChemical engineeringYttria-stabilized zirconiaElectrolyteOxideCathodeDielectric spectroscopyElectrocatalystScanning electron microscopeElectrodeComposite materialChemistryMetallurgyElectrochemistryCubic zirconiaCeramicOrganic chemistry

Abstract

fetched live from OpenAlex

Single cells based on Ni-CeO2-WC-YSZ anodes were investigated as an alternative material for direct methane solid oxide fuel cells. First, a YSZ electrolyte-based cell with porous YSZ as the support for electrode materials on both sides was prepared. Then electrocatalyst materials were incorporated into the porous YSZ: the anode was infiltrated with WC (25 vol.%), Ni (5 wt%) and ceria (5 wt%) precursors; and the cathode with LSM (20 vol.%) precursor. A Ni-CeO2-WC-YSZ symmetrical cell study showed that the Ni modified electrode performed stably with humidified methane at 850°C for a period of 48 hours under open circuit condition; no carbon formation was observed either with in-situ impedance spectroscopy or ex-situ scanning electron microscopy. Furthermore, the fuel cell results revealed that not only does the anode operate steadily with a reasonable performance on methane fuel, but the stability of the carbide phase is well maintained. The cell also successfully survived an oxidation-reduction-recarburization cycle. It was demonstrated that with a proper cell configuration, the structural integrity can be protected. These results suggest that a Ni modified anode is compatible with methane fuel, with reasonable and stable performance.

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)0.002
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 score0.020
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.281
Teacher spread0.264 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207