Efficient Modeling of Power/Ground Planes Using Delay-Extraction-Based Transmission Lines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents an efficient approach for modeling irregular shaped power distribution networks (PDN) in high-speed packages. The proposed methodology is based on discretization of the plane into an orthogonal grid of transmission line segments. Using a delay-extraction-based model for each line segment, a compact circuit model is achieved where the size of the circuit matrices depend only on the nodes of the orthogonally discretized structure and all other internal nodes due to the macromodel are eliminated. This approach of eliminating the internal variable due to the transmission line macromodel is further extended to model skin effect losses without augmenting the circuit matrices. The proposed work has been successfully implemented for a variety of PDN structures and geometries and has been shown to yield significant savings in memory and run time costs compared to the existing simulation program with integrated circuits emphasis macromodels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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