Photochemical Synthesis of Monodisperse Size-Controlled Silver Decahedral Nanoparticles and Their Remarkable Optical Properties
Why this work is in the frame
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Bibliographic record
Abstract
Monodisperse decahedral silver nanoparticles have been synthesized with excellent shape selectivity (>99%) by novel photochemical transformation of aqueous silver nanoparticle precursors. The procedure employs intense white light and is very robust and reproducible. The precursor solution transforms from a mixture of shapes dominated by small silver platelets into the decahedra, driven by superior stability of decahedral seeds. The decahedra size can be varied by adjusting intensity and spectral properties of the irradiating light. Furthermore, the decahedra can be controllably photochemically regrown to larger sizes, while fully preserving the monodispersity. Silver decahedra exhibit remarkable optical properties featuring a bicolored appearance due to the interplay between plasmonic adsorption and scattering. The sharp plasmon resonances of silver decahedra were tunable from 455 to 570 nm through size variation. Finally, silver decahedra exhibited greatly superior enhancement of Raman scattering compared to other silver nanoparticles. Overall, our findings highlight the importance of pentagonal symmetry in metal nanoparticles and offer a powerful general approach to monodisperse shapes via selective regrowth of appropriately identified and stabilized intermediates.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it