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Record W2324255067 · doi:10.1149/1.3570171

Numerical Modeling of Nickel-Impregnated Porous YSZ-Supported Anodes and Comparison to Conventional Composite Ni-YSZ Electrodes

2011· article· en· W2324255067 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 · 2011
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsQueen's University
Fundersnot available
KeywordsAnodeMaterials scienceYttria-stabilized zirconiaNickelComposite numberPercolation theoryPorosityMicrostructurePercolation (cognitive psychology)Phase (matter)Composite materialElectrodeConductivityMetallurgyCeramicCubic zirconiaChemistry

Abstract

fetched live from OpenAlex

SOFC anodes fabricated by Ni-impregnation of porous YSZ support have a microstructure distinct from the much studied/modeled conventional Ni-YSZ composite anodes. The Ni-infiltrated anode forms a semi-continuous network of electron conducting Ni-phase on the YSZ support framework. In this study, the Ni phase was modeled as a two-dimensional film on the porous YSZ structure and percolation theory was utilized to evaluate the following features that are unique to Ni-impregnated YSZ anodes - (i) the electrical conductivity of a semi-continuous film of nickel formed on the YSZ support framework, and (ii) the active TPBs in a nickel impregnated system based on the semi-continuous nature of the nickel phase. The effect of Ni loading relative to the total pore volume on electronic conductivities and TPB densities is evaluated and compared to literature.

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 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 score0.447
Threshold uncertainty score0.999

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 head0.036
GPT teacher head0.285
Teacher spread0.249 · 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