<i>In situ</i> Study on Structure of a Diluted Pt/HOPG Model Catalyst System Prepared by the Two-phase Liquid Reduction Method Using a Novel BCLA/HERFD+BI-XAFS Method
Bibliographic record
Abstract
The structure of monolayer Pt nanoparticles (Pt NPs) dispersed on a flat highly oriented pyrolytic graphite surface prepared by two-phase reduction method as a model catalyst for fuel cell systems was studied by a bent crystal Laue analyzer enhanced back-illuminated X-ray absorption fine structure (BCLA+BI-XAFS) technique. The BCLA+BI-XAFS technique enables us to investigate the in situ Pt NPs structure in 0.1 M HClO4 solutions while applying a wide range of potentials. We found that Pt NPs have a stable framework of a cuboctahedron with about 309 Pt atoms and a Pt–Pt bond length of 2.76 ± 0.06 Å independent of applied potential. The application of high energy resolution fluorescence detection back-illuminated X-ray absorption near edge structure (HERFD+BI-XANES) successfully elucidated the relationship between surface species and applied potential. We revealed the origin of the high stability of the Pt NPs prepared by the two-phase liquid reduction method. This developed BI-XAFS method provides a new way to investigate Pt NPs on flat substrates as a model catalyst for fuel cell catalyst studies.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".