Technology portable analytical model for DSM CMOS inverter transition time estimation
Bibliographic record
Abstract
In this paper, we propose a new analytical model to estimate the transition time of CMOS inverters. Accounting for the main effects of deep sub-micron such as velocity saturation and mobility degradation, the relationship between the input and output transition is discussed and captured by a closed-form expression. The developed model has been formulated to depend only on device model parameters, which are usually provided with the given technology. The proposed model was verified against circuit simulation using Spectre level 11 (BSIM3v3) for a wide range of transistor sizes, output loading and input transition times. It has also been tested for portability between 0.25 /spl mu/m, 0.18 /spl mu/m and 0.13 /spl mu/m technologies Our model showed good accuracy compared to simulation with maximum error of 10% and an average error of 4%.
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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".