Double-Layered Perovskite Anode with <i>in Situ</i> Exsolution of a Co–Fe Alloy To Cogenerate Ethylene and Electricity in a Proton-Conducting Ethane Fuel Cell
Bibliographic record
Abstract
A new proton-conducting ethane fuel cell (PC-EFC) anode material comprised of double-layered perovskite (Pr 0.4 Sr 0.6 ) 3 (Fe 0.85 Mo 0.15 ) 2 O 7 (DLP-PSFM) with uniformly dispersed in situ exsolution of Co–Fe alloy nanoparticles was prepared by annealing cubic perovskite Pr 0.4 Sr 0.6 Co 0.2 Fe 0.7 Mo 0.1 O 3−δ in a 10% H 2 /N 2 reducing atmosphere at 900 °C. The BaCe 0.7 Zr 0.1 Y 0.2 O 3−δ electrolyte-supported PC-EFC single cell fabricated with the new DLP-PSFM anode material has achieved a maximal output power density of 496.2 mW cm –2 in H 2 and 348.84 mW cm –2 in C 2 H 6 at 750 °C. In the meantime, a high ethylene yield, increasing from 13.2% at 650 °C to 41.5% at 750 °C with a remarkable ethylene selectivity over 91% and no CO 2 emission, was achieved because of the considerably efficient catalysis of in situ Co–Fe alloy nanoparticles that were homogeneously distributed on the DLP-PSFM backbone. Furthermore, a single cell under a constant current load of 0.65 A cm –2 reached a stable power output at 750 °C in C 2 H 6 during the 100 h stability test. This indicates an excellent coking resistance, which is also supported by Raman spectra, X-ray diffraction patterns, and scanning electron microscopy image analyses. The results clearly indicate that the DLP-PSFM anode material possesses high ethane partial dehydrogenation activity, enhanced electrocatalytic activity, and good stability. On the basis of its remarkable performance in cogeneration of electricity and ethylene in PC-EFC, DLP-PSFM ceramic material is an attractive anode for a directly hydrocarbon-fueled solid oxide fuel cell.
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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".