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Record W1978249501 · doi:10.1109/ccece.2014.6901111

Electromigration testing of wire bonds

2014· article· en· W1978249501 on OpenAlexaff
Michael David Hook, Di Xu, M. Mayer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsElectromigrationDegree CelsiusMaterials scienceWire bondingMicroelectronicsCurrent densityElectrical resistance and conductanceInterconnectionOptoelectronicsComposite materialAnalytical Chemistry (journal)Electrical engineeringChemistryChipPhysicsTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

Wire bonding is the dominant first-level interconnection technology for packaging of microelectronics. This paper presents the results of testing silver and gold wire bonds for electromigration with substrate temperatures from 100 degrees Celsius to over 200 degrees Celsius. Wire resistances were measured during testing, and, following testing, the wires were imaged by optical and scanning electron microscopy. Silver wires withstood 4 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> amperes per square centimeter for 180 hours at a peak temperature of 190 degrees Celsius without detectable damage. For the same current density, gold wires showed surface cracking and a small increase in the resistance of one wire after 330 hours of testing at a peak temperature of 350 degrees Celsius. For a current density of 2.5 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> amperes per square centimeter and peak temperatures above 600 degrees Celsius, silver wires showed severe distortion from electromigration along grain boundaries, followed by open circuit failures after between 35 and 50 hours of testing.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.186

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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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