A Slim Polymer Film with a Seamless Panoramic Field of View: The Radially Distributed Waveguide Encoded Lattice (RDWEL)
Bibliographic record
Abstract
Abstract The nearly hemispherical field of view (FOV) of arthropodal compound eyes has inspired analogs ranging from curved, lens‐patterned domes to planar constructs patterned with microlenses. A radial distribution of cylindrical waveguides that monotonically spans ±33° confers an FOV of 115° to a slim (≤3 mm) polymer film. This is the greatest panoramic FOV reported for any plane‐faced, single‐component structure. The radially distributed waveguide encoded lattice (RDWEL) waveguides are inscribed in a single, room‐temperature step by a large (≈15 000 cm −2 ), converging population of self‐trapped incandescent beams elicited in a photopolymerizable epoxide fluid. Because the resulting waveguides are multimoded and polychromatic, the RDWEL operates at all visible wavelengths emitted by broadband (e.g., ambient sunlight) and narrow ranged (e.g., light emitting diodes (LEDs), lasers) sources. Due to the overlap of the angular acceptance ranges between neighboring waveguides, the structure captures light incident at any angle within its FOV. Distinct in the field, the RDWEL confers an exceptionally large, seamless FOV for all visible wavelengths to a planar, single‐component, flexible and robust slim film. It therefore holds considerable potential as coatings for enhanced light capture (solar cells), beam shaping (LEDs, projectors), and imaging (smart phones, microscopes, and endoscopes).
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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".