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Record W1527696353 · doi:10.1109/irws.2004.1422743

Effects of capillary forces on the global thinning of copper metallization under electromigration stress

2005· article· en· W1527696353 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
FieldMaterials Science
TopicCopper Interconnects and Reliability
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsElectromigrationVoid (composites)CopperMaterials scienceElectric fieldCapillary actionMechanicsInstabilityDielectricFinite element methodBoundary value problemComposite materialCondensed matter physicsMetallurgyOptoelectronicsStructural engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

The global thinning of copper interconnections is modeled via the shape evolution of voids located at the copper/dielectric interface under electromigration stress conditions. The model includes the instabilities driven by both capillary and electron wind forces, and employs an axisymetric 3D finite difference numerical method, combined with the boundary element method, for solving the electrostatic problem. With zero electric field or with small fields applied, a large void experiences a capillary instability which leads to open circuit failure. As the electric field becomes larger, the numerical solution predicts that the growth of this instability is suppressed and the void shape stabilizes. Thus, for a typical electromigration stress condition, a large copper void elongates its shape along the interface parallel to the electric field, suggesting a mechanism for the delayed open circuit failure observed in copper metallization systems.

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 score0.052
Threshold uncertainty score0.258

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 head0.008
GPT teacher head0.241
Teacher spread0.234 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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