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Record W7155537853 · doi:10.14447/jnmes/vol28i2.a10

The effect substitution of lanthanum-aluminate oxide of the catalytic performance of La1-xSrxAlO3-δ (x = 0.1, 0.2, 0.3) for methane oxidation, pp. 211-216

2025· article· W7155537853 on OpenAlexvenueno aff
Abderezak GUEMACHE, Mahmoud DRIF, Ahmed Bouchelaghem, Fares KAHOUL, Louanes HAMZIOUI

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2025
Typearticle
Language
FieldChemical Engineering
TopicCatalysis and Oxidation Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsMethaneCatalysisSubstitution (logic)OxideComplex oxide

Abstract

fetched live from OpenAlex

This work shows the catalytic activity of the methane oxidation reaction on catalytic powders such as perovskite -aluminate oxide La1-xSrxAlO3-δ , with x = 0, 0.1, 0.2, 0.3.The La1-xSrxAlO3-δ (0<x<0.3)matrix was prepared by the co-precipitation method, the pure phase was characterized by X-ray diffraction (XRD) , thermal and differential gravimetric analysis (TG/DSC), Fourier transform infrared spectroscopy (FTIR), Specific surface area (BET).SEM micrographs showed spherical grains and uniform.The maximum catalytic activity of the different La1-xSrxAlO3-δcatalyst (x = 0.1, 0.2, 0.3) for CH4 combustion reactions was observed on the surrogate samples (x = 0.1, 0.2, 0.3) by the analytical system used in gas chromatography (GC) (IGC 1025 FL INTER SMAT).A higher degree of substitution produces an increase in catalytic oxidation activity.

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 score0.004

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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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
Published2025
Admission routes1
Has abstractyes

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