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Record W4403758654 · doi:10.1109/tdei.2024.3486677

Single Step Processing of an Integrated FGM BaTiO<sub>3</sub>-Ni Capacitor for Power Modules’ Assembly

2024· article· en· W4403758654 on OpenAlexaff
Romain Raisson, Sophie Guillemet-Fritsch, Pascal Dufour, Paul-Étienne Vidal, Geoffroy Chevallier, Donatien Martineau, Cyrille Duchesne

Bibliographic record

VenueIEEE Transactions on Dielectrics and Electrical Insulation · 2024
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsSafran Electronics (Canada)
FundersAgence Nationale de la Recherche
KeywordsCapacitorMaterials scienceElectronic engineeringPower (physics)Electrical engineeringComputer scienceEngineeringVoltagePhysics

Abstract

fetched live from OpenAlex

The miniaturization of power electronic devices is pushing manufacturers to improve the multifunctionality of components. Obtaining new materials with heterogeneous electrical properties is a challenge. In this work, the objective is to prepare, in a single step processing, a ceramic capacitor, including a thick metallization. This device will be a first step toward its integration in a power module. The assembly of a metal and ceramics is a challenge due to the difference of properties of these materials. A new BaTiO3-Ni functionally graded material (FGM) has been obtained by spark plasma sintering (SPS) co-sintering. The processing parameters of the BaTiO3-Ni FGM are optimized to target highly dense material with controlled microstructure. In this case, a crack free device is obtained with controlled dielectric properties and can be integrated in a power module device. The processing leading to the fabrication of this FGM in one step can be used for other components in power electronics applications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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