Remarkably Strong Interparticle Coupling in Two-Dimensional Ensembles of <i>Naked</i> Silver Quantum Dots: The Effect on Optical and Conduction Characteristics
Bibliographic record
Abstract
Tunable two-dimensional ensembles of naked silver quantum dots have been assembled, using gas-phase deposition techniques, and their conduction and optical characteristics have been measured. With decreasing interparticle separation, the optical properties are found to evolve from particle-like to bulk metal-like. Two conduction mechanisms are found. At relatively large interparticle separations, interparticle tunneling of charge is prominent. At relatively small separations, we propose that resonant charge transport through the quantum dot ensembles occurs. Because the quantum dots are naked, these results provide new insight into particle−particle coupling interactions, specifically, which are much stronger than those observed in the ligated nanoparticle film systems that are typically studied. Tunneling current is observed over remarkably large average interparticle separations (greater than 40 nm), and surface plasmon resonances are shifted more than 1.7 eV as a result of the strong interparticle coupling. Because of stronger coupling, we also find that the ensemble-dependent band gap can be tuned from 0 to ∼5 V over a larger range of interparticle separations than possible in the ligated nanoparticle film systems.
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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) | 0.000 | 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 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".