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Foster-based Transient Thermal Analysis of SiP for Thermomechanical Studies

2021· article· en· W3173173979 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 institutionsPolytechnique MontréalUniversité du Québec en Outaouais
Fundersnot available
KeywordsTransient (computer programming)Finite element methodReliability (semiconductor)ThermalThermal analysisHeat transferCoupling (piping)Computer scienceJunction temperatureThermal transferMaterials scienceSystem in packageMechanical engineeringTemperature measurementLayer (electronics)Electronic engineeringStructural engineeringEngineeringMechanicsComposite materialPhysics

Abstract

fetched live from OpenAlex

System in Package (SiP) is widely used to miniaturize electronic systems and increase their level of integration. Since reliability and lifetime estimation depend critically on accuracy of thermal models and temperature of inter-layers that constitute the SiP, a Foster based model is proposed to achieve this purpose. In this model, heat transfer between layers of the system and thermal coupling between dies in vertical and horizontal plane are accurately taken into account. As a proof of concept, detailed 3D modeling of a multichip heterogeneous module is performed with Simulink. This model can be used for real-time temperature prediction. The accuracy of predicted junction and inter-layer temperatures are confirmed by Finite Element Method (FEM) analysis.

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 score0.223
Threshold uncertainty score0.227

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 head0.046
GPT teacher head0.277
Teacher spread0.231 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

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