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Record W2080211762 · doi:10.1115/1.1842780

Stability and Reactivity of LSGM Electrolytes With Nickel-Based Ceramic Cathodes

2004· article· en· W2080211762 on OpenAlexaff
C. Munnings, Stephen J. Skinner, G. Amow, Pamela S. Whitfield, Isobel Davidson

Bibliographic record

VenueJournal of Fuel Cell Science and Technology · 2004
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsElectrolyteCathodeMaterials scienceDielectric spectroscopyNickelPolishingSurface modificationAnalytical Chemistry (journal)StoichiometryChemical engineeringInorganic chemistryElectrochemistryChemistryComposite materialMetallurgyElectrodeChromatography

Abstract

fetched live from OpenAlex

The surface of La0.9Sr0.1Ga0.8Mg0.2O3−δ (LSGM 9182) has been examined through the use of secondary-ion mass spectrometry before and after surface modification by mechanical polishing. It was found that the cation stoichiometry varied at the surface in both cases. The effect of this change on the performance of the cathode material La2NiO4+δ was assessed through ac impedance spectroscopy of symmetrical cells prepared by depositing La2NiO4+δ on the surface of pellets of La0.9Sr0.1Ga0.8Mg0.2O3−δ. An improvement in the cathode performance of these cells at temperatures above 500°C was found on electrolytes with elevated levels of strontium and magnesium at the surface.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.242
Teacher spread0.234 · 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

Citations20
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Fuel Cell Science and TechnologySame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207