Integrated Catalyst ZnNC⊂PtZn for High‐Performance Ethanol Electrooxidation and DEFC
Bibliographic record
Abstract
Abstract We report here an electrocatalyst that exhibits superior performance in the electrooxidation of ethanol. The reactive centers of the catalyst have a nest‐type configuration with outer Zn‐N x C nest covering inner PtZn intermetallic compound nanoparticles loaded on carbon support (ZnNC⊂PtZn/C). The high‐energy stepped facets of the inner PtZn nanoparticles confined and shaped by the outer Zn‐N x C nest is highly active for the critical C−C bond cleavage of ethanol in oxidation, confirmed by experimental characterizations and density functional theory calculations. The catalyst shows a rare high‐performance and demonstrates a mass activity of 3.7 A mg Pt −1 and a Faradaic efficiency of 78.2 %, following the C1 pathway of reaction and the retention of initial activity remains 97 % after 5,000 cycles. The unique configuration, also mitigating the concentration polarization, endows the catalyst with innate ethanol electrooxidation property by inner‐outer synergic interactions, leading to unexpected power output of an acidic direct ethanol 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".