Facilitated Utilization of Active Sites with Core‐Shell PdPt@Pt/RGO Nanocluster Structures for Improved Electrocatalytic Ethylene Glycol Oxidation
Bibliographic record
Abstract
Abstract In direct alcohol fuel cells (DAFCs), ethylene glycol (EG) as an advanced power source has attracted intensive interests. However, the electrocatalysis performance and durability of Pt‐based nanocatalysts for EG oxidation are usually unsatisfactory, due to the low utilization of their active sites in the electrocatalytic reaction. Herein, the core‐shell PdPt@Pt nanoclusters (NCs) supported on functionalized reduced graphene oxide (RGO) are reported to facilitate the use of active sites for enhancing the electrocatalytic activity of EG oxidation. The special core‐shell NCs and synergistic effects of Pd and Pt provide numerous active sites which are beneficial to electrocatalysis. The prepared catalysts display remarkable electrocatalytic performance toward EG oxidation, and the peak current density (128.96 mA cm −2 ) and mass activity (4388.23 mA mg −1 metal ) are much larger compared to the commercial Pt/C catalysts (7.91 mA cm −2 , 897.51 mA mg −1 metal ). This work could offer an effective strategy to facilitate the utilization of active sites for improving the electrocatalytic activity of Pt‐based nanocatalysts in the DAFCs.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".