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Record W2076384338 · doi:10.1109/icecs.2010.5724516

Thermo-mechanical analysis of a reconfigurable wafer-scale integrated circuit

2010· article· en· W2076384338 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsPolytechnique MontréalUniversité du Québec à MontréalUniversité du Québec à Trois-RivièresUniversité du Québec en Outaouais
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsWaferFinite element methodThermalFabricationIntegrated circuitRapid prototypingMaterials scienceMechanical engineeringWafer-scale integrationComputer scienceElectronic engineeringEngineeringStructural engineeringNanotechnologyOptoelectronics

Abstract

fetched live from OpenAlex

This paper presents thermo-mechanical investigation results of a reconfigurable wafer-scale integrated circuit, the WaferIC™, dedicated to electronic systems prototyping. The proposed approach carefully selects materials combined with an active cooling mechanism to avoid critical localized thermal peaks and associated large thermal stresses. The performance of the approach was evaluated and tested using finite element methods and steady state thermo-mechanical results are provided. During the development of the WaferIC, the thermo-mechanical design aspects were proven crucial to its reliable operation. Large and possibly excessive values of stress can be induced on the WaferIC by a variety of operations and processing steps during fabrication, including attachment and encapsulation, if not properly designed.

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 categoriesInsufficient payload (model declined to judge)
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 score0.137
Threshold uncertainty score0.998

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)0.0030.000

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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