MétaCan
Menu
← Back to cohort
Record W4392226876

Elaboration and interfacial reactivity of Lanthanum Strontium Chromium Ruthenium (LSCrRu) perovskite oxides as intermediate temperature fuel cell (ITSOFC) anodic compound

2005· preprint· fr· W4392226876 on OpenAlexaboutno aff
L. Combemale

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2005
Typepreprint
Languagefr
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsLanthanumStrontiumElaborationPerovskite (structure)RutheniumChromiumReactivity (psychology)Materials scienceAnodeFuel cellsInorganic chemistryChemical engineeringChemistryCatalysisMetallurgyOrganic chemistryPhysical chemistryHumanitiesEngineering
DOInot available

Abstract

fetched live from OpenAlex

Cette étude apporte des données sur l'intérêt des chromites de lanthane strontium dopés au ruthénium La1-xSrxCr1-yRuyO3 (LSCrRu) comme anode de pile à combustible ITSOFC. La synthèse sous champ micro-onde d'oxydes mixtes a permis la mise en forme de demi-cellules et cellules complètes modèles par pulvérisation cathodique magnétron et par sérigraphie. Les propriétés de reformage de CH4 ont pu être étudiées dans un dispositif mono-chambre couplé à un spectromètre de masse en collaboration avec l'Institut de REcherche Hydro-Québec. La réactivité à l'interface anode/électrolyte a été analysée par SIMS et XRD sur demi-cellules modèles vieillies sous H2 à 800C. Elle a permis de préciser la chimie du film après traitement. Les cellules complètes, testées en condition de fonctionnement, ont mis en évidence, après dissolution sélective de LSCrRu, une modification de la microstructure à l'interface anode/électrolyte. Des analyses XPS et SEM-EDX n'ont pas montré de réactivité chimique.

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueOpenGrey (Institut de l'Information Scientifique et Technique)→Same topicFuel Cells and Related Materials→French-language works237,207→