Fast and efficient parametric modeling of contact-to-substrate coupling
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents two rapid and yet accurate modeling methods for substrate coupling between a device contact and a substrate backplane. We discuss effects of physical parameters and geometrical characteristics of the contact and the substrate on the proposed models. We also derive model expressions for extraction of circuit-model elements of the substrate. Both methods are efficient for speed, memory usage, and adaptable to computer-aided design (CAD) tools for optimization tasks. The accuracy of both methods, the parametric modeling method and the microstrip line approximation method, is validated by comparing with the rigorous simulation data obtained from IE3D. Using the new models, we record a much higher speedup factor and extremely lower memory requirements compared to other published methods. The modeling methods are extended to two-layer structures and the models are applied to spiral inductors for verification purposes. In our research, we have validated the models over a wide range of frequencies up to 20 GHz.
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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 | 0.000 |
| 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 it