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Record W1998243501 · doi:10.1143/jjap.50.01bf06

Influence of Cation Dopants in the A-Site on the Crystal Structure, Microstructure, and Electrical Conductivity of Ba<sub>0.5</sub>Sr<sub>0.5</sub>Co<sub>0.8</sub>Fe<sub>0.2</sub>O<sub>3-δ</sub> as a New Solid-Oxide-Fuel-Cell Cathode

2011· article· en· W1998243501 on OpenAlexfundno aff
Suwichar Deehasing, Kazunori Sato, Oravan Saguanruang, Soamwadee Chaianansutcharit

Bibliographic record

VenueJapanese Journal of Applied Physics · 2011
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsnot available
FundersMcMaster UniversityNational Science Foundation
KeywordsLattice constantAnalytical Chemistry (journal)Scanning electron microscopeIonMicrostructureElectrical resistivity and conductivitySinteringCrystal structureDopantMaterials sciencePerovskite (structure)MineralogyX-ray crystallographyTECCrystallographyChemistryDiffractionDopingMetallurgyGeology

Abstract

fetched live from OpenAlex

(Ba 0.5 Sr 0.5 ) 1- x Ca x Co 0.8 Fe 0.2 O 3-δ (BSCCF), (Ba 0.5 Sr 0.5 ) 0.8 La 0.2 Co 0.8 Fe 0.2 O 3-δ (BSLCF), and (Ba 0.5 Sr 0.5 ) 0.8 La 0.2- x Ca x Co 0.8 Fe 0.2 O 3-δ (BSLCCF) perovskite oxides were synthesized by the modified citrate method and characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). These oxides showed primarily a cubic phase with their dense bodies after sintering. The lattice parameter was decreased with increasing Ca 2+ -ion content in BSCCF. Conversely, the substitution of Ca 2+ ions for La 3+ ions in BSLCCF increased the lattice parameter. The maximum electrical conductivities were 96 S·cm -1 at 650 °C for the 30 mol % Ca 2+ -substituted BSCCF and 353 S·cm -1 at 350 °C for BSLCF. The thermal expansion coefficient (TEC) of BSCCF was almost constant regardless of the Ca 2+ -ion contents, whereas that of BSLCCF decreased with decreasing Ca 2+ -ion content.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0010.002
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 head0.250
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJapanese Journal of Applied PhysicsSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207