Crosstalk Reduction Enabled by Hybrid Metallo-Dielectric Waveguide Architecture
Bibliographic record
Abstract
Although substrate-integrated non-radiative dielectric (SINRD) waveguides have demonstrated an excellent potential for THz applications, they suffer from a high level of crosstalk when two or more paths intersect with each, which is inevitable in integrated circuits and systems. In this work, hybrid metallo-dielectric waveguide (HMDW) architecture is used to reduce such crosstalk of intersecting guides. Metal layers outside the intersection of two SINRD waveguides are removed to create substrate-integrated dielectric waveguide (SIDW), thus forming a mode-selective interface to suppress certain undesired mode in connection with crosstalk. Moreover, leveraging SIDW beyond the intersection helps reduce conductor loss. Simulation shows that a 6.1 mm back-to-back substrate-integrated hybrid metallo-dielectric (SIHMD) waveguide with six identical intersections has an average insertion loss of 3.5 dB, whereas the SINRD counterpart has that of 7 dB over the frequency band from 268 GHz to 296 GHz. Simple geometric feature and metallized-viafree manufacturing process of the proposed topology for reducing crosstalk are set to significantly relax manufacturing requirements in THz.
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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 | 0.000 |
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".