Study of nonlinear plasmonic properties of metallic nanohybrids
Bibliographic record
Abstract
Abstract Recent studies in nonlinear optics have seen heightened interest in metallic heterostructures, which provide a promising avenue for exploring the enhancement of high harmonic generation due to their localized surface plasmon resonances. In this paper, a theory of third harmonic generation (THG) and sum frequency generation (SFG) is developed for metallic nanohybrids made of an ensemble of Au, Al and CuS metallic nanoparticles. The coupled-mode formalism based on Maxwell’s equations is used to obtain the intensity of the THG and SFG light. We found that the intensity depends on the third-order susceptibilities which are evaluated by the density matrix method. Analytical expressions of the intensities of the THG and SFG light were calculated in the presence of the surface plasmon polaritons (SPPs) and the dipole–dipole interaction (DDI). These expressions can aid experimentalists in conducting new experiments. We found that there are four types of processes contributing to THG and SFG in the Al/Au/CuS nanohybrid. The first contribution is due to the probe photons, the second is due to the SPPs, the third is due to the DDI polaritons, and the fourth is the combination of photons and polaritons. We compared our theory with our experimental data of Al/Au/CuS nanohybrid and found a good agreement between our theory and experiments. Our theoretical findings can be applied to fabricate optical nano-amplifiers, and nanosensors by measuring the intensity of the output wave.
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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".