Design and Optimization of Surface-Wave Enhanced Reflecting Metasurfaces Featuring Beamforming and Polarization Control
Bibliographic record
Abstract
Electromagnetic metasurfaces (MTSs) are typically modeled as passive, lossless, and purely reactive homogenized impedance sheets on dielectric substrates. In this paper, we present an overview of designing reflecting MTSs using the method of moments (MoM) with gradient-based optimization. The proposed MTSs consist of printed metallic patterns placed over a grounded dielectric slab, with the patterns modeled by impedance sheets, and the impedance values optimized through gradient-descent to achieve specific far-field (FF) power patterns or beamforming objectives. This beamforming/beamshaping capability is enabled utilizing auxiliary surface waves, without the need of any explicit gain or loss. Full-wave simulations of realistic copper structures are presented to validate the proposed design procedure, with measurements preformed for an one dimensional (1D) MTS. An example of a 2D MTS featuring polarization control is also presented.
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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".