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Record W2266139457 · doi:10.1149/1.3489929

Cobalt Doped Sm<sub>0.95</sub>Ce<sub>0.05</sub>FeO<sub>3-δ</sub> for Detection of Reducing Gases

2010· article· en· W2266139457 on OpenAlexafffund
Syed M. Bukhari, Javier B. Giorgi

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ottawa
KeywordsCobaltMaterials scienceDopingPelletsAnalytical Chemistry (journal)OxygenAdsorptionGrain boundaryPerovskite (structure)Grain sizeMineralogyChemistryMicrostructureCrystallographyPhysical chemistryMetallurgyEnvironmental chemistryOptoelectronics

Abstract

fetched live from OpenAlex

The newly developed Sm0.95Ce0.05Fe1-xCoxO3-δ perovskites were assessed as sensors for reducing gases. The solid state sensors were prepared in the form of pellets. Sensors with larger particle size and reduced grain boundaries are obtained as the concentration of cobalt is increased. The sensor's surface is enriched with Sm and Co, but the Sm concentration decreases with an increase in cobalt content. The introduction of cobalt in the perovskite lattice results in an increase in lattice oxygen and a decrease in surface adsorbed oxygen. The electrical conductivity responses toward H2, CO and CH4 (1-5%v/v) were measured in air and at different temperatures. The cobalt doping has improved the response to such an extent that H2, CO and CH4 can be detected at room temperature. Response and recovery time of these sensors are associated with surface chemical composition and surface morphology

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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.

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

Citations6
Published2010
Admission routes2
Has abstractyes

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