Additively-Manufactured, Magnetically-Controlled Reconfigurable Array Antenna
Bibliographic record
Abstract
This work explores a versatile array antenna design that relies solely on the magnetic tuning of its underlying ferrite substrate to scan the beam, tune the frequency, and adjust the polarization simultaneously. The proposed design obviates the need for integrated active components (PIN diodes, varactors etc.), which have been fundamental elements enabling tuning operation in traditional reconfigurable array antennas, but also the cause of their complex feeding and biasing networks. This array antenna can be monolithically fabricated using low-cost additive manufacturing techniques, as demonstrated by the fabrication of a single array element consisting of a magnetically tunable phase shifter and a magnetically-controlled, frequency and polarization reconfigurable patch. The phase shifter is measured to provide a maximum of 253° at 7.1 GHz. Whereas, the integrated antenna element, depending on the magnitude and polarity of the applied magnetic field, is measured to radiate linearly polarized (LP) waves at 7.2 GHz or dual circularly polarized (CP) waves within two tunable frequency bands, namely 5.9-6.5 GHz and 7.6-7.95 GHz. These measurements are promising for developing a fully magnetically-controlled reconfigurable beam scanning array antenna.
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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 | 0.001 | 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".