Combining the Advantages of Hollow and One-Dimensional Structures: Balanced Activity and Stability toward Methanol Oxidation Based on the Interface of PtCo Nanochains
Bibliographic record
Abstract
Active and durable electrocatalysts for methanol oxidation reaction (MOR) are of great importance to the practical application of direct methanol fuel cell technology. Although tremendous efforts have been devoted to optimize the electrocatalysts, these electrocatalysts still fall far short of expectation and suffer from rapid activity loss. Herein, we report a new strategy for designing PtCo nanochains as a methanol oxidation electrocatalyst with high activity and excellent stability. The obtained PtCo nanochains consist of a string of hollow spheres that forms a one-dimensional chain structure. We find that having a defect-rich interface between adjacent hollow spheres is responsible for high catalytic performance and stability. With this special morphology, the PtCo nanochains exhibit exceptional activity (3.73 A·mg –1 Pt ) and stability (90.8% of initial current retained after 1500 cycles) for methanol oxidation. These findings will provide a new insight in designing and synthesizing high-performance electrocatalysts.
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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".