Porous Nanostructured Optical Filters Rendered Insensitive to Humidity by Vapor‐Phase Functionalization
Bibliographic record
Abstract
Abstract Water adsorption in many porous optical coatings can cause a detrimental red‐shift in the optical properties. In this study, a porous nanostructured rugate filter is fabricated using the glancing‐angle deposition (GLAD) technique, and rendered insensitive to large changes in ambient humidity by post‐deposition vapor‐phase functionalization. A central defect mode is added to the stop band of the filter by integrating a phase shift into the sinusoidal refractive‐index profile of the film. By monitoring the wavelength of the defect mode under variable humidity conditions, a six‐times reduction in sensitivity to water vapor is observed upon functionalization with 3,3,3‐trifluoropropyltrichlorosilane. Electrical characterization and advancing aqueous contact‐angle measurements are used to verify the hydrophobic properties of the functionalized thin films.
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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) | 0.004 | 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".