3D Porous Sphere-Like Aggregates of Bimetallic PtRh Nanoparticles Grown onto Carbon Nanotubes: Efficient and Durable Catalyst for the Ethanol Oxidation Reaction
Bibliographic record
Abstract
A strategy for the synthesis at room temperature of binderless 3D sphere-like aggregates of bimetallic PtRh nanoparticles onto carbon nanotubes (CNTs) by cross-beam laser deposition technique is presented. The atomic ratio between the two components (Pt and Rh) is tuned by varying the laser pulse energy on the two targets independently to optimize the alloying effects. The morphology of PtRh alloy nanostructure is controlled by introducing helium gas under 2 Torr of pressure during growth. The prepared CNT/3D sphere-like aggregates bimetallic PtRh nanostructures provide a high degree of electrochemical activity and good durability toward the ethanol oxidation reaction (EOR) outperforming CNT/Pt and CNT/Pt 3 Sn, which is the most actively known electrocatalyst for EOR. Therefore, the 3D CNT/PtRh alloy porous nano structures provide a good prospect to explore their catalytic properties for direct ethanol fuel cells systems.
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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".