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Record W2549474452

Packaging and Characterization of Silicon and SiC-based Power Inverter Module with Double Sided Cooling

2016· article· en· W2549474452 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

VenuePublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 2016
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsInfineon Technologies (Canada)
Fundersnot available
KeywordsMaterials sciencePower moduleSolderingSiliconOptoelectronicsJunction temperatureTransient (computer programming)Silicon carbideWaferPower densityFabricationReliability (semiconductor)Power semiconductor deviceDiodeElectrical engineeringPower (physics)Composite materialVoltageEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

Thermal management and especially cooling attracts more and more attention during phases of conception and fabrication of power modules to increase their field operation time and/or power density. Indeed thermal power losses impact the reliability of power systems, which are in a same time converging towards always higher power density and performances. Since standard solder die attach and wire bonding are reaching their limits, a novel concept of assembly has been realized with double sided cooling (DSC), as fully integrated part of the power module. Half-bridge modules either based on IGBTs and silicon diodes or based on SiC-devices have been assembled by combining Transient Liquid Phase Bonding (TLPB) and Transient Liquid Phase Soldering (TLPS). SiC and silicon wafers were prepared by deposition of a high density area array of Cu posts. In order to switch 1200V / 25A copper posts were electroplated 80 μm in height with a thin tin cap for flip chip bonding by TLPB. To attach a second DCB substrate on the backside, a TLPS paste was used. All interconnects of the modules are formed by intermetallic bonds for the target purpose of increased capability in heat dissipation, improved reliability and higher operation temperatures. Results on fabrication, thermal characterization and active power cycling (ATj = 125 K) are here also reported.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.081
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.190
Teacher spread0.181 · 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