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Record W2489567741 · doi:10.1149/200507.1684pv

Comparison of Cathode/Electrolyte Interfaces Prepared by Plasma Spray and Screen Printing for IT-SOFC

2005· article· en· W2489567741 on OpenAlexaff
Danick Bouchard

Bibliographic record

VenueECS Proceedings Volumes · 2005
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCathodeMaterials scienceElectrolytePlasmaChemical engineeringElectrochemistrySolution precursor plasma sprayThermal sprayingParticle (ecology)NanotechnologyElectrodeChemistryCoatingPhysical chemistry

Abstract

fetched live from OpenAlex

La0.6Sr0.4Co0.2Fe0.8O3−δ (LSCF) and La0.8S0.2CoO3−δ (LSC) were successfully synthesized by thermal plasma synthesis technique to be used as SOFC cathode material nanopowders. The LSCF and LSC cathodes were fabricated by directly projecting metal nitrate solutions onto GDC electrolytes using thermal plasma projection. Their structure, morphology and electrochemical properties were determined and compared with LSCF and LSC obtained by conventional chemical synthesis. The results indicate that the plasma-synthesized powders are not agglomerated and that most of the particle sizes of the plasma-synthesized powders are around 63 nm.

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 score0.079
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.323
Teacher spread0.301 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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