Hybrid Metallo-Dielectric Waveguide Architecture for Compact Low-Loss THz Applications
Bibliographic record
Abstract
A hybrid metallo-dielectric waveguide (HMDW) architecture is studied and applied to the reduction of transition sizes over discontinuities, in turn the overall dimension of circuits and systems. The scheme is made of mixed dielectric waveguide (DW) and nonradiative dielectric (NRD) waveguide, which are, respectively, deployed for the design of specific building parts in consideration of respective transmission properties of the two waveguides. NRD waveguide with metallic covers is used over discontinuities, which allows for suppressing potential radiation and leakage effects, whereas DW is adopted along discontinuity-free segments to maintain a minimum transmission loss. A back-to-back guiding structure with four 90$^{\circ}$bends covered by metal layers is demonstrated and experimentally validated in WR3-band. The simulated and measured insertion losses are comparable to their straight counterpart. With the NRD, the bend radius can be reduced by a factor of about 10, which enables the development of an extremely compact DW terahertz (THz) system. The presented metallized-via-free HMDW can be implemented in high-density integrated low-loss circuits and systems, which is critical in THz manufacturing process.
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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".