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
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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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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it