Dynamic Polarization Converter Using a Polymer-Based Plasmonic Metasurface
Bibliographic record
Abstract
Control of polarization is vital for many applications of photonics including sensing, communication, imaging and quantum optics. Currently available components for polarization control are often bulky and static, which limits their applications. Active metasurfaces offer a new way of achieving dynamic control of polarization with greater flexibility. We propose the design of a polymer based plasmonic metasurface to control the polarization state of the reflected light. By adjusting the temperature of the metasurface, it is possible to convert linearly polarized light to left or right handed circularly polarized light with more than 80% efficiency. It can also achieve co-polarization to cross-polarization conversion with 33% efficiency and a wide range of linear to elliptical polarization conversion. We also presented a design for THz region which provides good performance. The combination of high efficiency, large range of achievable polarization states and flexible fabrication process can make the proposed device useful for a wide range of applications. We believe this work will encourage further developments of active metasurface devices which utilize thermo-optic effect in polymers for achieving amplitude and phase tunability.
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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) | 0.001 | 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".