Domain Decomposition FDTD Algorithm Combining with Numerical TL Calibration Technique for Parameter Extraction of Substrate Integrated Circuits
Bibliographic record
Abstract
The substrate integrated waveguide (SIW) is useful for the design of millimeter-wave planar circuits such as filters, resonators and antennas. In this paper, an efficient hybrid algorithm called the domain decomposition finite difference time domain (DD-FDTD) method combining with a new numerical through-line (TL) calibration technique, is proposed and developed for the accurate parameter extraction of substrate integrated circuits (SICs). By means of this calibration technique, the FDTD method can be used to extract the circuit parameters of planar SIC discontinuities. The use of the domain decomposition can largely simplify the procedure of programming and simulation, increase the reliability of simulation, and make the adoption of distributed computing more convenient. The introduction of the TL calibration technique not only makes it possible to use the FDTD method to extract the parameters of SICs, but also accurately obtain the unknown complex propagation constant of the SIW simultaneously. Simulation and measurement results have verified this hybrid algorithm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Open science | 0.000 | 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 teacher head, 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".