Synthesis of Planar and Conformal Single-Layered Double-Sided Parallel-Cross Dipole FSS Based on Closed-Form Expression
Bibliographic record
Abstract
A simple synthesis method for ultra-thin double-sided cross-dipole-based Frequency Selective Surfaces (FSS) is presented in this paper. The presented technique is used to design a flexible band-stop FSS for Electromagnetic Interference (EMI) shielding applications operating at 10 GHz. An Equivalent Circuit (EC) model in combination with closed-form expression is used to synthesize and validate the response of the proposed element. In addition, a parametric study of the proposed FSS aiming to optimize the bandwidth has been presented. The proposed FSS holds similar responses for TE and TM mode of polarization at normal incidence. Further, the conformal behavior of the proposed FSS in comparison with planar FSS is presented and evaluated. The proposed FSS is validated with the full-wave EM solver for simulation and a prototype is fabricated. The size of the proposed unit cell is 0.4λ0×0.4λ0, where λ0is the free space wavelength at the desired the resonant frequency. In addition, the fractional bandwidth for TE and TM modes is 10.42% at normal incidence. The measured results of a proposed FSS are presented and validated in comparison with the simulations with good agreement.
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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 | 0.000 | 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".