Study of fiberweave effect through simulation and measurement on performance of differential stripline at high frequency
Bibliographic record
Abstract
Investigation on simulation and measurement of fiber-weave effect on performance of a differential stripline at high frequency is presented in this paper. Meg 4 substrate with 2x1067 fiber-weave is used to fabricate a 4.1 inch differential stripline on a 4 mil substrate. This paper shows the benefits of routing with at least 10 degree angle. Even by using a dense 2x1067 fiber-weave, if two fibers place on top of each other, routing in 0 degree can create 3.6 Ps/inch delay between P and N on a differential stripline, which can create a deep notch on insertion loss of 4.1 inch differential stripline at 31 GHz. To be able to do the measurement, a 2.92mm - K connector - to stripline transition is designed. Then a wide band TRL calibration kit was used to de-embed the break-out traces and the K-connector from the S parameter measurements. Frequency and time domain measurement and simulation results have acceptable correlation. A high resolution confocal microscope with x100 magnification is used to measure the dimension of fiber-weave to be able to do an accurate simulation.
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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 | 0.000 |
| 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 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".