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Transient Thermal Analysis of System-in-Package Technology by the Finite Element Method (FEM)

2022· article· en· W4313854556 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
Topic3D IC and TSV technologies
Canadian institutionsUniversité de SherbrookeCégep de l'Outaouais
Fundersnot available
KeywordsMultiphysicsFinite element methodTransient (computer programming)Thermal analysisThermalSystem in packageThermal conductionReliability (semiconductor)Materials scienceElectronic packagingMechanical engineeringComputer scienceElectronic engineeringEngineeringStructural engineeringChipComposite materialPhysicsThermodynamicsTelecommunications

Abstract

fetched live from OpenAlex

Since accurate thermal analysis is essential for the design and thermal management of System-in-Package (SiP). This paper proposes a transient thermal analysis of the System-in-Package technology based on four chips, in order to investigate the effect of the underlying layers on the thermal model. The finite element method (FEM) using the COMSOL Multiphysics® tool is proposed to achieve this objective. The temperature variation in the numerical simulation shows that the underlying layers are very important in decreasing the maximum temperature value of the SiP. Moreover, in terms of thermal conduction performance, and thermal management of the packaging system, this transient thermal analysis achieves high reliability and resolution when the maximum temperature in the chips is reduced by 16 °C.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.008
GPT teacher head0.223
Teacher spread0.216 · 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

Quick stats

Citations11
Published2022
Admission routes1
Has abstractyes

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