Sizing Analog Integrated Circuits by Current-Branches-Bias Assignments with Heuristics
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Bibliographic record
Abstract
This work shows the usefulness of assigning current-branches-bias levels, in order to improve and accelerate the sizing optimization of MOSFET-based analog integrated circuits (ICs). That way, the proposed procedure relies on the search of current branches from the associated incidence matrix by applying a recursive technique for exploring circuit graphs. The goal is focused on determining the bounds of the width/length (W/L) search space for each MOSFET before starting the sizing optimization process. As a case of study, the proposed current-branches-bias assignment (CBBA) approach is applied in the sizing optimization of the recycled folded cascode operational transconductance amplifier by applying evolutionary algorithms (EAs). From the feasible optimization results, we conclude that our proposed CBBA approach enhances and accelerates the biasing and sizing of analog ICs by EAs. DOI: http://dx.doi.org/10.5755/j01.eee.19.10.2464
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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