Significantly Enhanced Photoelectrocatalytic Alcohol Oxidation Performance of CdS Nanowire-Supported Pt <i>via</i> the “Bridge” Role of Nitrogen-Doped Graphene Quantum Dots
Bibliographic record
Abstract
Environmentally friendly, high energy conversion efficiency, and low pollution emission direct alcohol fuel cells (DAFCs) represent an ideal future clean renewable energy source. Herein, N-doped graphene quantum dots (N-GQDs) are introduced into cadmium sulfide (CdS) nanowires to form a “dot-on-nanowire” structure and support Pt nanoparticles to fabricate the electrode material, which is the core component of fuel cells. With the assistance of visible light irradiation, the as-prepared Pt-CdS/N-GQD electrode displays 2.7, 3.9, and 8.1 times improved electrocatalytic performance on methanol, ethanol, and ethylene glycol oxidation compared to the Pt-CdS one, respectively. Meanwhile, another essential parameter to evaluate the catalytic properties, the long-term stability of the corresponding electrode, is also significantly promoted under visible light illumination. The N-GQDs served as the “bridge” to link the photo- and electrocatalytic processes for facilitating efficacious interfacial charge transfer and the separation of photogenerated electron–hole pairs in the Pt-CdS/N-GQD electrode, which contributes to the synergistic effect of photoelectrocatalysis for the promotion of catalytic efficiency and stability. The present studies provide a promising avenue to design the high photoelectrocatalytic activity and superior poison resistance electrode materials for application in 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) | 0.000 | 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 | 0.001 | 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 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".