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Record W1964721397 · doi:10.1149/2.029301jes

BaCe<sub>0.85-x</sub>Zr<sub>x</sub>Sm<sub>0.15</sub>O<sub>3-δ</sub>(0.01 &lt; x &lt; 0.3) (BCZS): Effect of Zr Content in BCZS on Chemical Stability in CO<sub>2</sub>and H<sub>2</sub>O Vapor, and Proton Conductivity

2012· article· en· W1964721397 on OpenAlexaff
Kannan Ramaiyan, Sukhdeep Gill, N. Maffei, Venkataraman Thangadurai

Bibliographic record

VenueJournal of The Electrochemical Society · 2012
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsNatural Resources CanadaUniversity of Calgary
Fundersnot available
KeywordsConductivityMaterials scienceElectrical resistivity and conductivityChemical stabilityAnalytical Chemistry (journal)ProtonDopingOxideFuel cellsNuclear chemistryChemistryPhysical chemistryChemical engineeringMetallurgyChromatography

Abstract

fetched live from OpenAlex

In this paper, we report the chemical stability of a highly proton conducting Sm+Zr–codoped BaCe0.85-xZrxSm0.15O3-δ (BCZS) (0.01 < x < 0.3) in H2O vapor and CO2, and their electrical conductivity in air, N2 + 3% H2O, H2 + 3% H2O and N2 + 3% D2O. All the prepared BCZS was found to be structurally stable against reaction with pure CO2 at 400°C for 24 h, showing a positive role of Zr in providing chemical stability. However, at 600°C for 24 h, BCZS (0 < x < 0.2) showed the formation of BaCO3, while x = 0.3 remained stable at 20% CO2 in N2. Upon exposure to H2O vapor at 90°C, Ba(OH)2.xH2O formation was observed for all the investigated BCZS whereas at 600°C all were found to be chemically stable. A maximum conductivity of 5 × 10−3 Scm−1 is obtained for x = 0.3 member, which is about 40% of its Zr-free parent compound BaCe0.85Sm0.15O3-δ (BCS). Current work shows that despite the drop in conductivity, Zr doping in BCS provides stability under pure CO2, especially considering the goal of decreasing operating temperature of solid oxide fuel cells (SOFCs) below 500°C.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0020.005
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 head0.254
Teacher spread0.238 · 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

Citations41
Published2012
Admission routes1
Has abstractyes

Explore more

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