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Record W2110089431 · doi:10.1149/1.3095517

Sintering Effects on Proton Conductivity of Ta-Doped Ba[sub 2](CaNb)[sub 2]O[sub 6] and its Reactivity with SOFC Cathodes

2009· article· en· W2110089431 on OpenAlexafffund
Surinderjit Singh Bhella, Venkataraman Thangadurai

Bibliographic record

VenueJournal of The Electrochemical Society · 2009
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Calgary
KeywordsConductivityElectrolyteMaterials scienceAnalytical Chemistry (journal)ElectrodeElectrical resistivity and conductivitySinteringOxideCathodePowder diffractionPolarization (electrochemistry)ChemistryMetallurgyCrystallographyElectrical engineeringChromatography

Abstract

fetched live from OpenAlex

The effect of preparation temperature on electrical conductivity of , , and was investigated in air and humidified and . Powder X-ray diffraction (PXRD) showed the formation of double-perovskite-type structure. Among the compounds investigated, showed the highest proton conductivity of 3.7 and at in wet , respectively, for a 1400 and sintered sample, while no change in conductivity was observed in air. PXRD showed that is stable against chemical reaction with (LSM) and (SSC) electrodes at 800 and . Chemical compatibility was further confirmed by energy-dispersive X-ray (EDX) analysis. The ac impedance employing Pt, LSM, and SSC electrodes on showed that the area specific polarization resistance (ASPR) decreased in wet atmospheres compared to that of air. Unlike the oxide ion system, the ASPR was found to be much higher for the presently investigated proton system, suggesting that proton conductivity at the electrolyte and electrode interfaces or water effusion through microspores appears to control the ASPR. Among the electrodes tested, based on ac impedance studies, the LSM appears to be a better electrode compared to SSC for Ta-doped electrolyte.

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)0.001
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 score0.002
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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

Citations9
Published2009
Admission routes2
Has abstractyes

Explore more

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