Silver Nanoclusters: Single-Stage Scaleable Synthesis of Monodisperse Species and Their Chirooptical Properties
Bibliographic record
Abstract
Silver nanoclusters (AgNCs) with well-resolved electronic transitions in UV−vis spectra and chirooptical signatures have been synthesized via a versatile single-stage preparation utilizing stabilization with chiral thiols in aqueous solution. The most successful strategy proved to be the use of a combination of chiral ligands. No purification or size separation of synthesized AgNCs was required. AgNCs have been confirmed to be a single species and displayed significant stability in ambient conditions. Further improvement in AgNC stability has been achieved through their encapsulation in polymer films. Chemical properties of the prepared AgNCs were explored. Chirooptical properties of AgNCs have been studied in detail by circular dichroism (CD) spectroscopy, including nanocluster systems synthesized using different combinations of chiral ligands, where the tunability of chirality is demonstrated. Improved stability of AgNCs offers a good potential for future applications, for example, in optical sensors.
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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".