Influence of Cation Dopants in the A-Site on the Crystal Structure, Microstructure, and Electrical Conductivity of Ba<sub>0.5</sub>Sr<sub>0.5</sub>Co<sub>0.8</sub>Fe<sub>0.2</sub>O<sub>3-δ</sub> as a New Solid-Oxide-Fuel-Cell Cathode
Bibliographic record
Abstract
(Ba0.5Sr0.5)1-x Ca x Co0.8Fe0.2O3-δ (BSCCF), (Ba0.5Sr0.5)0.8La0.2Co0.8Fe0.2O3-δ (BSLCF), and (Ba0.5Sr0.5)0.8La0.2-x Ca x Co0.8Fe0.2O3-δ (BSLCCF) perovskite oxides were synthesized by the modified citrate method and characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). These oxides showed primarily a cubic phase with their dense bodies after sintering. The lattice parameter was decreased with increasing Ca2+-ion content in BSCCF. Conversely, the substitution of Ca2+ ions for La3+ ions in BSLCCF increased the lattice parameter. The maximum electrical conductivities were 96 S·cm-1 at 650 °C for the 30 mol % Ca2+-substituted BSCCF and 353 S·cm-1 at 350 °C for BSLCF. The thermal expansion coefficient (TEC) of BSCCF was almost constant regardless of the Ca2+-ion contents, whereas that of BSLCCF decreased with decreasing Ca2+-ion content.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".