Analysis of three‐dimensional MMIC by spectral–pseudospectral domain technique
Bibliographic record
Abstract
Abstract In this paper, a spectral–pseudospectral domain technique is presented for the full‐wave analysis of a three‐dimensional MMIC. This technique combines the advantages of pseudospectral method of lines with those of spectral‐domain analysis. In conjunction with the cavity‐resonance technique, it enables one to efficiently extract the s‐parameters of three‐dimensional planar circuits. To demonstrate the generality and validity of the proposed method, numerical analyses are performed for several structures such as microstrip resonators, planar transmission‐line steps, and a parallel coupled‐line filter. The convergence behaviors are provided for line discretization based on the pseudospectral strategy and finite difference (FD), respectively. The calculated results are compared with those published in previous literature. © 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 31: 340–345, 2001.
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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) | 0.002 | 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".