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Record W2510485032 · doi:10.1109/ectc.2016.347

The Electrical Reliability of Silver Wire Bonds under High Temperature Storage

2016· article· en· W2510485032 on OpenAlexafffund
M. Mayer, Di Xu, Kieran Ratcliffe

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDaisy chainMaterials scienceCeramicWire bondingElectrical resistance and conductanceBondComposite materialMetallic bondingContact resistanceCrystallographyMetallurgyMetalElectrical engineeringChemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Bonds made with Pd coated pure Ag wires were studied in this work with respect to their electrical resistance under high temperature storage at 200 °C. The Pd coated 18 micron diameter Ag wires were ball bonded to the Al metallization on testchips attached to ceramic substrates. All free-air balls were made in air as Pd coated Ag wire does not need protective atmosphere such as forming gas or nitrogen. The second bonds were on the Au plated leads of the ceramic substrates. Bonded wires were grouped in pairs to form several wire daisy chains on each substrate. A setup was developed to automatically switch from daisy chain to daisy chain to perform 2-wire resistance measurements. The resistance of Ag wires bonded to Al pads was compared to that of Au wire bonds. The average resistance value of the Ag daisy chains at 50 °C was 6.28 Ω, not significantly different from that of Au bonds. These values increased ≈2 % and ≈8 % for surviving Au bonds and Ag bonds, respectively, after 1000 h at 200 °C. However, more Ag bonds survived than Au bonds. The results show that Au bonds exhibit only a low increase of resistance in the beginning which then, however, is followed by an abrupt increase to high values leading to complete failure. In contrast, the Ag bonds aging show a more gradual increase in resistance right from the beginning and are less prone to abrupt or complete failure compared to the Au bonds.

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 score0.130
Threshold uncertainty score0.207

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 head0.004
GPT teacher head0.192
Teacher spread0.188 · 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

Citations10
Published2016
Admission routes2
Has abstractyes

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