Enhancing dispersion of copper nanowires in melt‐mixed polystyrene composites
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Bibliographic record
Abstract
Abstract Copper nanowire (CuNWs)/polystyrene (PS) composites were prepared by melt mixing using unfunctionalized and functionalized nanowires. Alkanethiols were utilized to modify the surface of CuNWs postsynthesis and enable their dispersion in a polymer melt. Unfunctionalized nanowires decreased the electrical resistivity of PS by nine orders of magnitude with 2.0 vol % Cu, and resulted in composites with a viscoelastic behavior dominated by polymer–polymer networks indicating that electrical percolation occurred without a transition from liquid‐like to solid‐like behavior (i.e., rheological percolation). Results from transmission electron microscopy (TEM), scanning electron microscopy (SEM), and melt rheology characterization indicated that surface modification of CuNWs contributed to the dispersion of the nanofiller in the polymer matrix. CuNWs functionalized with 1‐octanethiol and 1‐butanethiol produced rheological percolation and a gradual decrease in the electrical resistivity of the PS nanocomposites with increasing concentration of nanowires. Polymer nanocomposites with low concentrations of functionalized nanowires showed lower complex viscosities than pure PS; this was attributed to a plasticizing effect introduced by the alkanethiols. © 2008 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 46: 2064–2078, 2008
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it