Additively-Manufactured, Magnetically Controlled, Frequency and Polarization Reconfigurable Phased Array Antenna
Bibliographic record
Abstract
An additively manufactured phased array antenna is presented in this work that provides simultaneous reconfiguration in frequency, polarization, and beam direction solely in response to magnetic tuning of the underlying ferrite substrate. This design obviates the need for integrated active components, which have been fundamental elements enabling tuning operation in traditional reconfigurable array antennas. The array element of the proposed array antenna consists of a waveguide-based phase shifter, realized by printing metallic walls on a ferrite substrate, which is then monolithically integrated with a printed circular patch antenna. Depending on the magnitude and polarity of the applied magnetic field (solenoids) to the patches, the array antenna can operate in a linearly polarized (LP) mode at 7.2 GHz or in dual circularly polarized (CP) modes in two continuously tunable frequency bands, 5.9–6.5 GHz and 7.6–7.95 GHz. Simultaneously, when magnetic field is applied to the phase shifters, continuous beam steering within ±25° of the boresight can be realized (±35° when fully saturating the ferrite at the phase shifters). To the best of the authors’ knowledge, this is the first implementation of an additively manufactured and fully magnetically controlled array antenna of this versatility.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".