Optical modulation using strain tunable metallo‐dielectric films (Phys. Status Solidi A 6∕2017)
Bibliographic record
Abstract
Metal thin-films are used in a diversity of applications, which include single metal thin-film layers in plasmonic SPP sensors,multi-layer metallo-dielectrics in solar control coatings and the development of a wide variety of metamaterial devices. Such devices are nevertheless limited in their applicability due to the lack of active tunability in the properties of metallic layers. However, recent work on stretchable electronics shows the presence of active changes in the structure of metallic layers. The article by Clark and Kherani (article no.201600756) hypothesizes the viability of tuning the optical properties of metallo-dielectric films using a simple mechanica stimulus. Through the application of small strains the authors demonstrate the tunability of the visible light scattering; near-infrared absorptivity and transmissivity at specific wavelengths; mid-infrared absorptivity and transmissivity; and electrical conductivity. This first experimental and theoretical study establishes the basis for a potentially new field of strain tunable optical modulation in metal thin films.
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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) | 0.002 | 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".