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Fast Switching with SiC VJFETs - Influence of the Device Topology

2010· article· en· W2057817792 on OpenAlexaff
Rudolf Elpelt, Peter Friedrichs, J. Biela

Bibliographic record

VenueMaterials science forum · 2010
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsInfineon Technologies (Canada)
FundersInfineon TechnologiesSiemensEidgenössische Technische Hochschule Zürich
KeywordsNetwork topologyTopology (electrical circuits)CapacitanceCurrent (fluid)Materials scienceChannel (broadcasting)Flow (mathematics)Electrical engineeringElectronic engineeringComputer scienceEngineeringMechanicsElectrodePhysics

Abstract

fetched live from OpenAlex

Since SiC VJFETs are believed to offer extremely fast turn on and turn off processes it is important to understand how these transients are tailored by the layout. Regarding the basic layouts two main topologies are under investigation today – structures with the well known SIT layout with purely vertical current flow and lateral vertical concepts where the current flow through the channel is in lateral direction and the vertical current flow takes place in the drift region only. In this paper we will focus on differences in the electric characteristics of both structures and the relation of the dynamic behavior to the topology and the layout of the switches. For the analysis, 1200V VJFETs based on the two basic topologies were manufactured having approximately the same total and active device area. It turns out that the SIT switches under investigation suffer from a high internal gate resistance in the p-doped layers and a relatively high gate drain capacitance.

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 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 score0.015
Threshold uncertainty score0.299

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.214
Teacher spread0.209 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2010
Admission routes1
Has abstractyes

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