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Low Inductance PCB Layout for GaN Devices: Interleaving Scheme

2021· article· en· W3185058861 on OpenAlex
Jan Hammer, Ignacio Galiano Zurbriggen, Mohammad Ali Saket, Martin Ordonez

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
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInductanceParasitic elementInterleavingPrinted circuit boardElectronic engineeringSensitivity (control systems)Power (physics)Finite element methodTopology (electrical circuits)Equivalent series inductanceComputer scienceElectrical engineeringEngineeringVoltagePhysics

Abstract

fetched live from OpenAlex

Wide-Bandgap devices are pushing the boundaries of switching frequencies, power densities, and efficiencies of modern power converters. To utilize the full potential of these devices, the parasitic elements formed by the printed circuit board (PCB) layout requires special attention. This work introduces a novel approach, that helps to reduce the parasitic inductance of the commutation loop in a half-bridge topology with surface-mount power devices. The approach uses multiple PCB layers for enhanced current distribution and magnetic cancellation, which results in low inductance designs with less sensitivity to the geometric parameters of the PCB design. The approach is validated with simulation results via a Finite Element Analysis (FEA) as well as with experiments. The results show a promising reduction in inductance and geometric sensitivity compared to the conventional solution.

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 score0.126
Threshold uncertainty score0.518

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 head0.011
GPT teacher head0.225
Teacher spread0.213 · 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