Optical properties of two-dimensional and three-dimensional arrays of noble metal nanoparticles by the discrete dipole approximation method
Bibliographic record
Abstract
The optical aspects of plasmon coupling occurring through the near-field interactions among metallic spherical nanoparticles assembled in close proximity to each other in two-dimensional and three-dimensional arrays have been examined using the discrete dipole approximation (DDA). Calculations were performed for nano-sized close-packed spheres of silver, gold or copper, hexagonally arranged in a planar monolayer target and extended gradually to three-dimensional multilayer targets with a fastened interparticle spacing. Those targets were simulated under the incident ppolarized light with an energy range of 1.5 - 4.5 eV by executing an open-source code of the DDA. The optical response of three-dimensional targets was revealed in the absorption spectra calculated at various angles of the polarized incident light, showing a blue shift of the plasmon resonance (PR) peak for both gold and copper targets. The splitting of the surface plasmon resonance (SPR) observed in the response of the two-dimensional silver system eventually disappeared into one well-defined resonance peak as the system grew in the third dimension. Moreover, to shed light on the nature of the plasmon coupling among close-packed nanospheres of different metals, we simulated a target composed of mono-sized nanospheres of the three metals placed spatially in three consecutive layers. A combined optical behaviour was thus observed through the absorption spectrum, where the plasmon peaks attributed to the silver, gold and copper interacting nanospheres emerged at the original energy values as if it was applied in isolated planar hexagonal arrays.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".