Delay and current estimation in a CMOS inverter with an RC load
Bibliographic record
Abstract
A novel and efficient method is presented for computing the delay and supply current pulse in a CMOS inverter with an RC load. The method builds on existing techniques for computing these quantities in the presence of a capacitance load. As in the work of other authors, the concept of an effective capacitance C/sub eff/ is used. However, here it captures the inverter's behavior only while the charging/discharging transistor is in saturation and, therefore, behaves like a current source to a good approximation. This capacitance is determined by means of a simple iterative procedure that uses an empirical piecewise-linear approximation to the RC circuit's output voltage, which has a normal CMOS symmetrical form. Since a C/sub eff/ defined in the above way is independent of the inverter's parameters, such as transistor size, the coefficients of the approximation have to be determined for only one reference inverter. A simple analytical method yields the inverter's output voltage outside the saturation region. The complete model has been shown to be accurate for both 0.8-/spl mu/m 5-V and 0.24-/spl mu/m 2.5-V CMOS technologies. Its speed is comparable to that of the "capacitance load" techniques that it relies on.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".