Beam-Reconfigurable Aperture Antenna by Stretching or Reshaping of a Flexible Surface
Bibliographic record
Abstract
This letter presents a beam-reconfigurable superstrate antenna with a periodic flexible surface composed of an array of liquid-metal-filled microchannels inside a polymer. Two beam-reconfiguration techniques are used here: 1) stretching the surface along one axis where the radiation pattern depends on the elongation percentage; and 2) reshaping the surface to concave/convex where the pattern depends on surface state. Elongation and reshaping can split the broadside beam to two beams up to ±55° and ±58° off-broadside, respectively. This technique can be used as a simple low-cost alternative to electronic tuning that requires integration of an array of switches/varactors into the surface and hinder the fabrication of large-scale tunable surfaces and aperture antennas.
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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) | 0.000 | 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".