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Record W2317555086 · doi:10.1149/1.3701325

Cr-Substituted La<sub>0.3</sub>Sr<sub>0.7</sub>FeO<sub>3-δ</sub> Mixed Conducting Materials as Potential Electrodes for Symmetrical SOFCs

2012· article· en· W2317555086 on OpenAlexafffund
Min Chen, Scott Paulson, Venkataraman Thangadurai, Viola Birss

Bibliographic record

VenueECS Transactions · 2012
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCarbon Management Canada
KeywordsElectrodeMaterials scienceMineralogyAnalytical Chemistry (journal)ChemistryPhysical chemistryEnvironmental chemistry

Abstract

fetched live from OpenAlex

The structure stability, conductivity and electrochemical properties of Cr-substituted La0.3Sr0.7FeO3-δ SOFC electrode materials were investigated in this work, primarily for application in symmetrical solid oxide fuel cells. Cr substitution, giving La0.3Sr0.7Fe1-xCrxO3-δ (LSFC, x = 0, 0.2, 0.3), remarkably improves the phase stability of La0.3Sr0.7FeO3-δ materials in reducing atmospheres and their redox tolerance in varying atmospheres. Symmetrical half-cells employing La0.3Sr0.7Fe0.8Cr0.2O3-δ on La0.8Sr0.2Ga0.8Mg0.2O3-δ (LSGM) electrolyte supports exhibit electrode polarization resistances (RP) of as low as 0.25 Ω•cm2 in air and 0.45 Ω•cm2 in humidified H2 at 750oC. Maximum power densities of 0.30 W/cm2 (800oC) and 0.22 W/cm2 (750oC) were obtained for a symmetrical single cell using humidified H2/air. The excellent anodic and cathodic electrochemical performance of LSFC is thought to be due to its high electrical conductivity (180 and 0.43 S•cm-1 at 700oC in air and 10%H2+N2, respectively) and good ionic conductivity.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.277
Teacher spread0.250 · 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.

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

Citations7
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueECS TransactionsSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207