Engineering of Host–Guest Interactions To Tune the Assembly of Plasmonic Nanoparticles
Bibliographic record
Abstract
Controlling the interaction between linking components and nanoobjects is expected to offer exciting new opportunities to induce tunable assembly and modulate the topology and properties of nanostructures. In this work, engineering the exclusive and inclusive host–guest interaction between cucurbit[ n ]urils and salts is demonstrated as a novel strategy to simultaneously realize tunable assembly of plasmonic nanoparticles (NPs) with controllable size and composition and manipulate the stability of the assemblies. As a proof of concept, one-dimensional nanochains of gold, silver, and their alloys with rigid subnanometer interparticle separation and widely tunable optical properties are generated. These exhibit strong dipole coupling between the plasmonic NPs, confirmed by experiments and theoretical simulations. This controllable assembly principle will lead to significant interest not only in supramolecular chemistry and the interactions between supramolecular and plasmonic NPs but also in interaction mechanisms and light management and light harvesting in advanced applications. It is also expected that our approach will be applicable to a wide range of NPs beyond plasmonic NPs with varied sizes and compositions.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| 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".