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Record W2521902225 · doi:10.1149/2.0431613jes

Comparison of the Electrochemistry of Ni Thin Film and Ni-YSZ Composite Anodes Fabricated by Polymeric Precursor Deposition

2016· article· en· W2521902225 on OpenAlexafffund
Aligül Büyükaksoy, Viola Birss

Bibliographic record

VenueJournal of The Electrochemical Society · 2016
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates - Technology FuturesUniversity of Calgary
KeywordsAnodeMaterials scienceYttria-stabilized zirconiaElectrolyteCubic zirconiaSolid oxide fuel cellChemical engineeringThin filmComposite numberElectrochemistryElectrodeComposite materialNanotechnologyChemistryCeramic

Abstract

fetched live from OpenAlex

Previous research focused on the impedance response of Ni-yttria stabilized zirconia (YSZ) solid oxide fuel cell (SOFC) anodes has provided contradictory results about the preferred equivalent circuit, the meaning of each circuit element, and the rate determining step of the H2 oxidation reaction. This has been proposed to be due to differences in the morphology of the anode layers between studies, unknown impurity concentrations related to the use of different Ni precursors, and variations in the distributed potentials within porous anode layers. Here, efforts were made to overcome these problems by comparing the impedance response of a dense, Ni thin film anode, deposited on a YSZ electrolyte pellet, with that obtained from a Ni-infiltrated porous YSZ scaffold, but using the same polymeric Ni precursor solution in both cases, thus ensuring that only the morphology of the YSZ phase differed. This revealed that the same general impedance response and the same activation energy was obtained at both anodes when the porous electrode data were fitted to an equivalent circuit that includes a transmission line element. This work thus demonstrates the importance of keeping as many parameters the same as possible in comparative model thin film and composite anode studies.

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 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 score0.008
Threshold uncertainty score0.368

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 science0.0010.000
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 head0.007
GPT teacher head0.259
Teacher spread0.252 · 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

Citations6
Published2016
Admission routes2
Has abstractyes

Explore more

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