Defect-Rich, Candied Haws-Shaped AuPtNi Alloy Nanostructures for Highly Efficient Electrocatalysis
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Bibliographic record
Abstract
The rational design and synthesis of multimetallic nanostructures (NSs) with rich defects are of significant importance for their diverse applications, including their promising usage as high-efficiency catalysts for alcohol oxidation reaction as a fuel source. Here, we report the synthesis of defect-rich, candied haws-shaped AuPtNi NSs using presynthesized gold (Au) nanowires as templates. The ternary AuPtNi NSs possess rich defects such as twins, stacking faults, and atomic steps. Impressively, the AuPtNi NSs exhibited excellent mass and specific activities toward methanol and ethanol oxidation reactions under acidic conditions. Our current work paves the way for the rational design and controlled synthesis of defect-rich multimetallic NSs to boost their performances in catalytic reactions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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