Broad-spectrum Tuning of Surface Plasmon Resonance Using Palladium Nanorods
Bibliographic record
Abstract
This paper aims to achieve broad-spectrum tuning of surface plasmon resonance (SPR) with palladium nanorods.For this purpose, the finite-difference time-domain (FDTD) method was selected to simulate the optical properties of palladium nanorods.Specifically, we investigated the effects of radius, axial length, and aspect ratio of palladium nanorods on the SPR, the impacts of axial length on SPR of palladium and gold nanorods of the same size, and the influence of radius on palladium nanospheres and nanorods of the same axial length.The absorption spectra of palladium nanorods in different sizes were also analyzed.The results show that the longitudinal absorption peak of palladium nanorods can be used to tune the SPR from the visible region to the infrared region; palladium nanorods are more suitable for broad-spectrum tuning of the SPR than gold nanorods; palladium nanorods are more effective for broad-spectrum SPR tuning than palladium nanospheres; changing the size of palladium nanorods can effectively tune the SPR across a broad spectrum.The research findings shed important new light on the design of surface plasmon scales, filters, biosensors, etc.
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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) | 0.001 | 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 | 0.001 |
| 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".