Revealing the Synergy of Mono/Bimetallic PdPt/TiO<sub>2</sub> Heterostructure for Enhanced Photoresponse Performance
Bibliographic record
Abstract
This work reports a synergistic study of a noble metal (NM)/semiconductor hybrid structure featuring a mono/bimetallic PdPt/TiO 2 heterostructure prepared by a facile anodization-hydrothermal process. The electronic interaction between TiO 2 nanotubes (NTs) and mono/bimetallic PdPt nanoparticles (NPs), as well as the bimetallic PdPt interplay, has been thoroughly investigated by various X-ray techniques. Particularly, X-ray absorption near edge structure (XANES) at the Ti L 3,2 -edge and O K-edge was employed to understand the NM sensitization effect on the local structure of the TiO 2 host. Meantime, d-charge redistribution within Pd and Pt upon alloying and loading on TiO 2 NTs was disclosed at the Pt L 3 -edge and Pd L 3 -edge XANES, respectively. Consistent results were given from their corresponding X-ray photoemission spectroscopy (XPS) analysis. In addition, extended X-ray absorption fine structure (EXAFS) at the Pt L 3 -edge and Pd K-edge was also performed to unravel the atomic distribution and intermetallic interaction of Pd and Pt upon alloying. Finally, the synergy within the mono/bimetallic PdPt/TiO 2 heterostructure was examined by size, compostion, and structure of the as-attached NM NPs assisted with photoresponse performance analysis.
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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) | 0.001 | 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 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".