Photopatternable Electrical Conductive Ag- SU-8 Nanocomposite for MEMS/MST
Bibliographic record
Abstract
An electrically conductive SU-8 has been formulated and can be used to build micro-components for MEMS, microfluidics and packaging applications. SU-8 is an insulating near -UV negative-tone photoresist. An electrically conductive SU-8 has been formulated and can be used to build micro-components for MEMS, microfluidics and packaging applications. In order to enhance the electrical conductivity of SU-8, silver nanoparticles with an average diameter of 80nm were dispersed by ultrasonic agitation. The resulting nanocomposite was successfully patterned. Evolution of electrical conductivity of SU-8 as a function of weight percentage has been studied. It is observed that the conductivity increases slowly up to 2.2 wt% weight concentration. However, after this point the conductivity increases rapidly. This behavior of conductivity variation can be explained in terms of the percolation theory. At lower concentrations of silver nanoparticles, percolation paths are not set up by the nanoparticle network. As the concentration of nanoparticles in the composite increases, the percolation paths via conducting nanoparticles are set up. At this stage, the nanoparticles control the conductivity of the nanocomposite matrix.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".