Demonstration of a nearly ideal wavelength-selective optical mirror using a metamaterial-enabled dielectric coating
Bibliographic record
Abstract
We report a thin nanostructured dielectric optical coating with a nearly ideal polarization insensitive reflectance at a wavelength of 3.46 μm. A genetic algorithm was used to optimize the doubly periodic amorphous silicon subwavelength nanostructure to satisfy a metamaterial-enabled reflecting condition at this resonance wavelength. Optical measurements of the nanofabricated dielectric coating had a peak reflectance of 99.76% at 3.46 μm, showing strong agreement with simulation. The average reflectance measured at nine positions on a 2.54 cm × 2.54 cm coating demonstrated a high optical uniformity of 99.5% ± 0.1% across the large-area component. These results outline a route to design and manufacture low-loss metamaterial-enabled dielectric optical coatings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".