Substrate Integrated Artificial Dielectric (SIAD) Structure for Miniaturized Microstrip Circuits
Bibliographic record
Abstract
A substrate integrated artificial dielectric (SIAD) structure for planar microstrip circuits miniaturization is presented. This structure is paraelectric and paramagnetic, i.e., provides enhancement of both the permittivity and the permeability from a given host substrate, and therefore achieves guided wavelength compression, leading to circuit size miniaturization. The SIAD is fully integrated and may be engineered by repeatable laser drilling and metal plating processes. By proper design of the SIAD, the effective parameters of a given host substrate are estimated to be increasable by up to 100% for the permittivity and up to 40% for the permeability, corresponding to a guided wavelength compression factor of up to 67%. Two practical applications are demonstrated for the proof-of-concept, a stepped-impedance low-pass filter and a branch-line coupler. For the proof-of-concept design used (nonoptimal in terms of size reduction), the former exhibits a length reduction of 16% and the latter exhibits an area reduction of 33%. The proposed SIAD structure may find many variations for manipulating the size, flexibility, and dispersion properties of microwave circuits, and may also be used for quasi-optical planar lenses.
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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 | 0.000 |
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".