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Record W1998791442 · doi:10.1088/0960-1317/18/7/075023

Electrical interconnection through optimized wirebonding onto SU-8 structures and actuators

2008· article· en· W1998791442 on OpenAlexafffund
Dan Sameoto, S-W Lee, M. Parameswaran

Bibliographic record

VenueJournal of Micromechanics and Microengineering · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInterconnectionMaterials scienceMicroelectromechanical systemsActuatorWire bondingDelamination (geology)Composite materialBall (mathematics)Yield (engineering)ChipOptoelectronicsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

We present a thorough investigation into mechanisms to improve the wirebonding yield onto thick SU-8 MEMS structures and actuators using optimized processing conditions. The failure modes of electrical connections onto SU-8 structures have been determined and minimized through our investigations into device yield and bond strength. Primary failure modes of ball bonding are metal delamination from the SU-8 surface and plastic deformation of thicker structures at elevated ball bonding temperatures. Both failure modes can be reduced significantly by using hardbaking steps and surface activations prior to metal depositions. The best bonding results are achieved when micro-roughening of SU-8 is combined with a surface activation to improve metal adhesion to the SU-8 surface. SU-8 thermal actuators up to 40 µm thick have been successfully bonded and operated on a polymer MEMS chip to demonstrate a potential application.

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 score0.083
Threshold uncertainty score0.669

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 head0.199
Teacher spread0.190 · 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

Citations7
Published2008
Admission routes2
Has abstractyes

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