Poly(dimethylsiloxane)/Cu/Ag nanocomposites: Electrical, thermal, and mechanical properties
Bibliographic record
Abstract
Multifunctional materials are urgently required for sensing and actuation purposes in microfluidic devices. In this study, poly(dimethylsiloxane) (PDMS) filled with Cu and Ag nanoparticles was prepared and its electrical conductivity (EC), thermal conductivity (TC), and mechanical properties were investigated. EC investigations showed that all the prepared compositions had a nearly similar percolation threshold of around 10 vol% of filler. However, the EC of nanocomposites filled with both Cu and Ag (PDMS/Cu/Ag) was about 1.8 S/cm, which was 200% higher compared with that of other compositions (0.3 and 0.6 S/cm). TC was found to undergo profound increase of 10.5‐fold (1.68 W.m −1 .K −1 for PDMS/Cu/Ag) when compared with that of the insulating base polymer (0.16 W.m −1 .K −1 ). Evaluation of mechanical properties demonstrated that Young's modulus of PDMS increased by 270% after adding the filler content, but the tensile strength showed a notable reduction of 12%. The final result of this study showed that PDMS/Cu/Ag nanocomposites could be considered as a suitable novel material in microchannel preparation and microfluidic devices. POLYM. COMPOS., 40:4093–4101, 2019. © 2019 Society of Plastics Engineers
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".