B‐Site Engineering in Ba‐Based Perovskites via Solid‐State Synthesis Unlocks High Power Density in SOFCs
Bibliographic record
Abstract
Abstract This study introduces three novel perovskite‐based cathode materials; Ba 3 CoNb 2 O 9 , Ba 3 FeNb 2 O 9 , and Ba 6 CoFeNb 9 O 30 , synthesized via a solid‐state reaction using camphor as a pore‐former. The suitability of the cathode materials for solid oxide fuel cells (SOFCs) is evaluated at temperatures ≤700 °C. The influence of surface and lattice oxygen content, along with B‐site doping effects, is systematically analyzed in relation to their electrochemical behaviors. At temperatures below 550 °C, Ba 3 CoNb 2 O 9 and Ba 3 FeNb 2 O 9 exhibit ≈1.5 times higher power densities than Ba 6 CoFeNb 9 O 30 , attributed to superior surface area. At higher temperatures (≥600 °C), Ba 6 CoFeNb 9 O 30 demonstrates superior performance due to more efficient surface oxygen utilization. All three materials benefit from high thermal stability and electrochemically active compositions, achieving power outputs surpassing many existing SOFC cathodes. This study highlights the importance of carefully engineered cathode composition and microstructure in developing advanced materials for efficient and stable SOFC operation at reduced temperatures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".