Reconfigurable Metasurface Reflectors Using Split-Ring Resonators With Co-Designed Biasing for Magnitude/Phase Control
Bibliographic record
Abstract
A novel reconfigurable metasurface reflector with a simple architecture is proposed based on either p-i-n or varactor diodes for magnitude and phase control, respectively. Each metasurface reflector is based on a single-dielectric two-metal-layer printed-circuit board (PCB), with a tunable resonator on the top metal layer and biasing on the bottom metal layer. The metasurface reflectors are designed for reconfigurability on a column-by-column basis (i.e., single-plane beamforming). Biasing is integrated in the design of the unit cell and RF-dc isolation is implemented at the ends of each reflector column. The bias lines are designed to have minimal effect on the resonator characteristics, while appropriate architectures are devised for each configuration involving p-i-n or varactor diodes. To demonstrate various functionalities of the metasurfaces, the p-i-n-based metasurface reflector is used to demonstrate magnitude control, sidelobe level control, and binary amplitude grating to generate three symmetrical beams. The varactor-based metasurface reflector is used to demonstrate single beam-steering and binary phase grating to generate two symmetrical beams.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".