A ZVS High Step-Down Converter With Reduced Component Count and Low Ripple Output Current
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, a new synchronous rectified converter with ultra-low output current ripple and high voltage attenuation is proposed. The presented converter can achieve soft switching without requiring any additional active components, leading to high efficiency while maintaining the simplicity of conventional converters. Other main features of the proposed circuit are inherent shoot-through protection, reduced current stress of the semiconductors due to the coupled inductor, and low voltage stress across the low-side MOSFET. In addition, a pulse frequency modulation control scheme is used, which allows for an extended soft-switching range without imposing an excessive circulating current at light loads. The steady-state analysis and experimental results from a 120W prototype are presented in this paper
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 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