A Review on Perovskite-Type LaFeO<sub>3</sub> Based Electrodes for CO<sub>2</sub> Reduction in Solid Oxide Electrolysis Cells: Current Understanding of Structure–Functional Property Relationships
Bibliographic record
Abstract
Mixed ionic and electronic conductors (MIECs) are being studied extensively as a potential replacement for cermet catalysts in solid oxide cells (SOCs)—collectively named for solid oxide fuel cells and solid oxide electrolysis cells—due to their high activity, great stability, and low cost. Perovskite-type LaFeO 3 -based catalysts are one of the most promising electrodes for SOCs. This review paper provides an update on the chemical composition–crystal structure–physical property relationships and an understanding of the electrochemical reaction mechanisms in the perovskite-type structure LaFeO 3 electrodes. Mechanisms for electrochemical CO 2 reduction on the perovskite structure surface and oxygen diffusion are discussed. Furthermore, the electrochemical performance enhancement strategies such as composite electrodes and nanoparticles ex-solution are briefly presented together with industrialization issues, e.g., gas impurities and stability of the interconnecting materials.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".