Pt‐Sn/Sb Interaction Induces Reversed Charge Transfer and Selective Hydroxyl Adsorption for Enhanced Hydrogen Electro‐Oxidation
Bibliographic record
Abstract
Abstract The challenges encountered by Pt‐based electrocatalysts in alkaline hydrogen oxidation reaction include high Pt dosage and conflicting demands for modulating adsorption strengths among diverse intermediates. Here, an ultrasmall Pt cluster grafted on antimony tin oxide nanocrystalline with strong electron donor ability to minimal Pt dosage yet maximized electrocatalytic performance is developed. Mechanism studies show that the formation of Pt–Sn/Sb interaction at the heterointerface and the resultant reversed electron transfer selectively enhance the adsorption for OH ‐ while concurrently weakening the binding strength for *H and CO toward Pt clusters. This accelerates the kinetics of H 2 /CO oxidation by promoting the binding of OH species with *H/*CO, yielding the catalyst with up to 5.7‐fold higher mass‐specific activity than benchmark Pt/C and increased resistance to CO poisoning. This work demonstrates the rational design of the synergistic multi‐site interactions towards advanced Pt‐based catalysts.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".