A Wide-range Reconfigurable Deadtime and Delay Element for Optimal-Power Conversion
Bibliographic record
Abstract
A reconfigurable dead-time circuit intended for optimum power-converters' operation is presented. The circuit provides a programmable delay element to produce a wide range of dead-time delays for different power conversion's applications with various loads and input voltages. The circuit utilises two tunable Schmitt triggers, two reconfigurable capacitive banks, and two adjustable-current sources. The post-layout simulation results show that the circuit can produce a wide range of dead-time delays, from 12.8 ns to 952.24 ns, between the control signals of the high and low sides of a power converter. The power consumption of the presented circuit ranges between 323.1 and 89.69 μW, pendant on the selected delay. The presented circuit is implemented in a 0.35-μm AMS CMOS technology where occupies an area of 150 μm×260 μm.
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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) | 0.001 | 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".