Self-Assembly and Chemical Reactivity of Alkenes on Platinum Nanoparticles
Bibliographic record
Abstract
Stable platinum nanoparticles were synthesized by the self-assembly of alkene derivatives onto the platinum surface, possibly forming platinum-vinylidene (Pt═C═CH-) or -acetylide (Pt-C≡) interfacial bonds as a result of dehydrogenation and transformation of the olefin moieties catalyzed by platinum. Transmission electron microscopic measurements showed that the nanoparticles were well-dispersed without apparent agglomeration, indicating effective passivation of the nanoparticles by the ligands, and the average core was estimated to be 1.34 ± 0.39 nm. FTIR measurements showed the emergence of a new vibrational band at 2023 cm(-1), which was ascribed to the formation of Pt-H and C≡C from the dehydrogenation of alkene ligands on platinum surfaces. Consistent behaviors were observed in photoluminescence measurements, where the emission profiles were similar to those of alkyne-functionalized Pt nanoparticles that arose from intraparticle charge delocalization between the particle-bound acetylene moieties. Selective reactivity with imine derivatives further confirmed the formation of Pt═C═CH- or Pt-C≡ interfacial linkages, as manifested in NMR and electrochemical measurements. Further structural insights were obtained by X-ray absorption near-edge spectroscopy and extended X-ray absorption fine structure analysis, where the coordinate numbers and bond lengths of the Pt-Pt and Pt-C linkages suggested that the metal-ligand interfacial bonds were in the intermediate between those of Pt-C≡ and Pt-Csp(2).
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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".