Redox Stability of Sm0.95Ce0.05Fe1-xCrxO3-δ Perovskite Materials
Bibliographic record
Abstract
This paper examines the relative REDOX stability and conductivity of new Cr-doped perovskite materials (Sm 0.95 Ce 0.05 Fe 1-x Cr x O 3-δ , x = 0–0.10) for potential use as anode materials and sensors for reducing gases at low temperatures. These perovskite materials were characterized by XRD, XPS and SEM. A reduction stability test revealed that these perovskites are stable at temperatures below 800°C under reducing conditions. The introduction of Cr in the lattice was found to be in the form of Cr +3 and Cr +6 . As a function of Cr content, the ratio of Cr +3 /Cr +6 was found to increase. The reduction treatment tended to decrease the concentration of lattice oxygen but the surface adsorbed oxygen was found to be higher in reduced samples as compared to fresh samples. This observation suggested that these materials have a tendency to recapture oxygen when exposed to air after the reduction treatment. The reduction treatment improved the electrical conductivity due to the formation of nanoparticles. The x = 0.03 perovskite has highest electrical conductivity under both air and reducing atmospheres and shows the greatest promise for use in sensor applications for reducing gases at low temperatures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".