Linear and nonlinear optical properties of Au-polymer metallodielectric Bragg stacks
Bibliographic record
Abstract
We demonstrate the fabrication of one-dimensional metallodielectric Bragg stacks (MDBSs) from 500nm spin-coated poly(methyl methacrylate) and 20nm evaporated Au layers; one-, two-, and three-bilayer structures are achieved with good homogeneity (<2% thickness variation). The linear reflection and transmission spectra show very strong modulation relative to the constituent materials for only a few bilayers; transmission windows associated with sharp Bragg resonances are observed at ∼600 and ∼850nm, while other regions provide reflections of >90%. Nonlinear absorption was measured by a z-scan technique and is observed to be enhanced at the Bragg resonances. The ∼600nm peak of the three-bilayer MDBS is enhanced by approximately seven times compared to a single Au film. The wavelength dependence of the nonlinear enhancement can be correlated with the attenuation parameter. The experimental results are in good agreement with numerical simulations based on a transfer-matrix method employing the known physical and optical parameters. The MDBSs show strong potential as versatile and inexpensive components for optical devices.
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) | 0.000 | 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".