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Record W1610780252 · doi:10.1109/pesc.2006.1712156

A new pulse resonant MOSFET gate driver with efficient energy recovery

2006· article· en· W1610780252 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsGate driverMOSFETPulse-width modulationRLC circuitElectrical engineeringPulse (music)Resonant inverterLogic gateDriver circuitElectronic engineeringCurrent (fluid)Phase (matter)Digital controlSwitching timeEnergy (signal processing)Computer scienceEngineeringVoltageCapacitorTransistorPhysicsInverter

Abstract

fetched live from OpenAlex

To reduce gate driving losses caused by high switching frequency operation, a new pulse resonant gate driver is presented in this paper. The rise/fall time is online controllable, which can be adjusted by the phase angle between driving switches and auxiliary switches (phase shift control), especially suitable for the applications with digital control. To operate more efficiently, an initialized resonant current is generated before turning on/off, which could effectively reduce RMS resonant current with the same rise/fall time. Theoretical and simulation results prove operation and driving loss saving efficiency of the proposed resonant gate drive circuit.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.162
Teacher spread0.158 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it