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Record W2103788074 · doi:10.1109/ccece.2007.8

Design of Electrical Interconnect for SU-8 Microfluidic Systems

2007· article· en· W2103788074 on OpenAlexafffund
Takaya Ueda, Seema Jaffer, Stephanie Westwood, Bonnie L. Gray

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceMicrofluidicsInterconnectionMicroelectronicsOptoelectronicsContact resistanceElectromigrationFabricationEtching (microfabrication)NanotechnologyElectrical contactsPolymerResistSubstrate (aquarium)Flip chipLayer (electronics)Composite materialComputer science

Abstract

fetched live from OpenAlex

In this paper, metal press-together contacts for electric interconnection between free-standing polymer microfluidic substrates is presented. In previous work, we have demonstrated fabrication and mechanical assembly and fluidic pressurization of interlocking SU-8 chip-to-chip connections. The addition of electronic routing to the microfluidic polymer chips and electronic interconnect between chips via polymer dip packaging would facilitate microfluidic and microelectronic integration. Towards this goal, metal press-on contacts are presented whereby two polymer substrates containing metals lines can be contacted while maintaining electrical continuity. A 50 nm thick chromium layer and 100 nm thick gold are patterned on enclosed polymer microchannels via metal etching. The metal lines are aligned in parallel and along side the whole length of the microchannels on each fluidic chip. Individual metal lines were tested for electrical resistance and continuity. For the 9000 mum long, by 500 mum wide, and 0.1 mum thick gold lines, the resistance varied from 7.6 to 9.6 Omega, which is on the same order of magnitude as the theoretical resistance of 4.4 Omega. Preliminary results show that removal of the SU-8 platform from the substrate, thus creating free-standing SU-8 microchips with enclosed channels, causes the resistance to increase to 550 Omega due to stress through reduction of the surface area of the conduction path. When the released SU-8 platform is aligned with another platform with metal lines in pressed together contact, electrical continuity is maintained.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2007
Admission routes2
Has abstractyes

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