A Miniaturized Uniplanar Metamaterial-Based EBG for Parallel-Plate Mode Suppression
Bibliographic record
Abstract
The suppression of parallel-plate modes is difficult to control over electrically short lengths. The use of electromagnetic bandgap (EBG) technology allows for a large suppression with controllable bandwidth, but traditional EBGs are often too electrically large to be used in practice. Moreover, in some forms they require several metallization layers and/or interconnecting vias. We introduce a metamaterial-based EBG that is miniaturized, uniplanar, and fully printable for the suppression of signals carried by the parallel-plate mode. We also present a corresponding multiconductor transmission-line analysis for accurate modeling of the EBG's dispersive properties, which arise from the coupling of contradirected forward and backward modes. The theory is supported by full-wave finite-element-method simulations and verified by measurements of a fabricated EBG. To demonstrate the practical value of the metamaterial-based EBG, we propose an alternate implementation that extends the one-dimensional structure to a two-dimensional radial EBG suitable for the suppression of high-frequency parallel-plate noise coupled between adjacent via interconnects. The simulation and measurement results for this device were found to be in agreement with each other and with the predicted bandgap.
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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) | 0.000 | 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 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".