Nanoscopic Ni Interfaced with Oxygen Conductive Supports: Link between Electrochemical and Catalytic Studies
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Bibliographic record
Abstract
Nickel NPs of ~70 nm diameter were tested for their catalytic and electrochemical performance when free-standing or supported at 1 wt.% on CeO2 or YSZ conductive supports. Nickel showed a high catalytic conversion (43 %) when supported on CeO2 and to a less extent when supported on YSZ (38%) compared to free-standing Ni (5%), for the ethylene oxidation reaction at 350 oC. The electrochemical tests consisted of polarization measurements at constant oxygen partial pressure. The corresponding Tafel plots allowed us to find the exchange current density, io, of the catalysts. Using io, the self-induced Faradaic efficiency LMSI was calculated for the two supported catalysts and was found to be almost the double for Ni/CeO2 compared to Ni/YSZ, with both being much higher than that of free-standing Ni NPs. These results suggested that more oxygen ions from CeO2 are able to act as promoters at the gas/catalyst surface interface than in the case of YSZ, thus resulting in the highest catalytic performance. When correlating the exchange current density to the catalytic performance of Ni, Ni/YSZ and Ni/CeO2, the same trend was found as for the noble metals (Pt, Ru, Ir) reported previously, showing that the lower i0 correlates with a higher catalytic reaction rate. This correlation suggests that for nanoscopic Ni catalysts interfaced with oxygen conducting ceramics, the mechanism of metal-support interaction (MSI) is similar to that in electrochemical promotion of catalysis (EPOC).
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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