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Record W2397727760 · doi:10.1149/06602.0219ecst

Sulfur Tolerance of La<sub>0.3</sub>M<sub>0.7</sub>Fe<sub>0.7</sub>Cr<sub>0.3</sub>O<sub>3</sub> <sub>-δ</sub> (M= Sr, Ca) Solid Oxide Fuel Cell Anodes

2015· article· en· W2397727760 on OpenAlexafffund
Paul Kwesi Addo, Beatriz Molero-Sánchez, Aligül Büyükaksoy, Scott Paulson, Viola Birss

Bibliographic record

VenueECS Transactions · 2015
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta InnovatesUniversity of Calgary
KeywordsCathodeAnodeElectrolyteElectrodeAnalytical Chemistry (journal)ElectrochemistryPolarization (electrochemistry)Materials sciencePerovskite (structure)Yttria-stabilized zirconiaOxideCurrent densityInorganic chemistryCubic zirconiaChemistryCrystallographyMetallurgyPhysical chemistryCeramic

Abstract

fetched live from OpenAlex

Symmetrical full cells, based on La 0.3 M 0.7 Fe 0.7 Cr 0.3 O 3- δ (M = Sr, Ca) perovskite oxide electrodes, were constructed, using a Yttria-stabilized zirconia (YSZ) electrolyte with a Samaria-doped ceria (SDC) buffer layer, and then tested in a range of fuel environments at 800 o C. It is demonstrated that the Ca analog (La 0.3 Ca 0.7 Fe 0.7 Cr 0.3 O 3-δ -LCFCr) is an equally good fuel electrode (anode) and air electrode (cathode) as the Sr member of this family (LSFCr), exhibiting very good electrochemical performance in H 2 , CO and H 2 +CO atmospheres. LCFCr and LSFCr anodes were also evaluated in the presence of 9 ppm H 2 S exposures, showing a small, but reproducible and reversible, decrease in polarization resistance (Rp). Studies at cell polarizations of -100 and -300 mV from the open circuit full cell voltage showed a ca. 2-4 % increase in current density in the presence of 9 ppm H 2 S + 30 % H 2 , with the cell recovering fully when H 2 S was removed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.249
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2015
Admission routes2
Has abstractyes

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