65 nm CMOS switching discontinuous‐conduction mode buck converter with 330 ns start‐up time for light‐load power‐cycled applications
Bibliographic record
Abstract
Aggressive power cycling of DC–DC converters is becoming important in many applications ranging from sensor interfaces to wireless transceivers, where the system needs to be on for only short time intervals. In this study, a switching DC–DC converter in a discontinuous‐conduction mode is proposed. The DC–DC converter is well‐suited for light‐load applications and features a very short start‐up time of 330 ns. This short start‐up time makes it suitable for aggressive power cycling, since it can turn on quickly to provide the required voltage for its load. The proposed control loop allows for the short and smooth start‐up behaviour of the DC–DC converter to exhibit no overshoot in the transient output voltage. Experimental results in a 65 nm CMOS show that this DC–DC converter has an efficiency of 72 – 80.3% for input voltages ranging from 2.4 to 3.4 V and output voltages ranging from 1 to 1.2 V. This is achieved when connected to a light load of 100 Ω, and using relatively small inductor and capacitor values of 200 nH and 40 nF, respectively.
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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 | 0.000 |
| 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) | 0.002 | 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".