Dependence of transmission on number of rows of 2D macroporous silicon photonic band gap material
Bibliographic record
Abstract
Summary form only given. Although it is well known that photonic band gap (PBG) materials can provide a high degree of attenuation within the photonic band gap, relatively little work has been done on visible or near-infrared gap materials to investigate exactly how this attenuation depends on the material thickness. This is an important issue because it is the attenuating property of photonic band gap materials that makes them so attractive as photonic circuit elements. We report on the band-gap transmission properties of 2D silicon PBG materials as a function of material thickness and wavelength with transmissivity as low as 3/spl times/10/sup -4/ being observed for only 4 unit cell thickness. The results indicate that large attenuation can be achieved with a very small volume of PBG material. This will be of central importance in the design of the coming generation of PBG devices such as waveguides and filters.
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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 | 0.001 |
| 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) | 0.003 | 0.001 |
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".