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Record W4416877975 · doi:10.37665/smgvlzz35389

Converting High Volume IC Manufacturing to CU Wire Packaging

2013· article· W4416877975 on OpenAlex
Larry Bright

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

VenueSMTA International · 2013
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsWire bondingOriginal equipment manufacturerIntegrated circuit packagingLead frameReliability (semiconductor)Electronic packagingManufacturing costDie (integrated circuit)Integrated circuitWafer

Abstract

fetched live from OpenAlex

ABSTRACT Converting integrated circuit (IC) bills of material (BOMs) from gold (Au) to copper (Cu) wire is becoming mainstream in semiconductor manufacturing. With the price of gold skyrocketing, cost is the primary driver for conversion. Although there are other advantages that complement the huge cost savings, few contract manufactures and Original Equipment Manufacturers (OEMs) are excited about these enhanced properties. Instead, they are most concerned with manufacturing controls, interaction with current BOMs, and the long-term reliability of Cu-wire in IC packaging. The benefits and concerns of using copper wire versus traditional gold wire BOMs are explored and various customer concerns are discussed. A myriad of evaluations were designed to determine the impact of the Cu-wire bonding across various wafer and package technologies. This laid the groundwork for a significant ramp into production. However, market acceptance needed to be considered as well, particularly from the OEM and Electronic Manufacturing Services (EMS) point of view. There are subtle benefits, such as improved electrical and thermal properties as well as slower intermetallic growth as summarized in Figure 1 above, but the primary risks are what customers tend to focus on. These include oxidation and increased hardness of the wire itself, interactions with impurities in various mold compounds, and controlling the manufacturing process over time. Initially traditional gold-wire bonders were retrofitted with conversions kits to allow the use of copper wire during the IC manufacturing bonding process. As more was learned about Cu-wire bonding, new bonding equipment was specifically designed to accommodate the unique requirements of using copper wire. The introduction of forming gas, capillary design, and other factors will be discussed as key parameters are optimized during the characterization of the copper-wire bond recipe. The definition of a “good bond”, revised process controls, extended reliability studies, and a look into what’s next wrap up the discussion.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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