Bibliographic record
Abstract
design considerations, 110-114 duty cycle, 110 flyback converter, 114-115 with energy-regenerative snubber, 119-120 ZCS-PWM, 117-119 forward converter active auxiliary circuits, 115-117 clamp capacitor voltage, 114 core considerations, 112-113 magnetizing current, 113-114 resonant frequency, 114 third quadrant of B-H curve, 113 transformer model, 112, 113 high-side, 105-106 low-side, 105, 106 modes of operation, 106-110 soft-switching methods flyback converters, 117-119 forward converters, 115-117 transformer reset, 110 ZVS operation, 110-112 Air-core inductors, 269-270 Application-specific ZVS-PWM converters, 42-43 Asymmetrical clamped-mode (ACM) control, 256 Asymmetrical PWM method (APWM), 197 full-bridge resonant converters, 256-257 half-bridge resonant converters capacitor discharge, 253 CLL, 256 control loops, 255 fixed-frequency control, 252 hybrid-control strategy, 255 no-load condition, 254 passive auxiliary circuit, 254-255 synchronous rectifiers, 254, 255 topology of, 252, 253 working of, 253 DC-DC Converter Topologies: Basic to Advanced, First Edition.Gerry Moschopoulos.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.688 | 0.580 |
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".