Electric‐field induced filler association dynamics and resulting improvements in the electrical conductivity of polyester/multiwall carbon nanotube composites
Bibliographic record
Abstract
The effects of electric fields on the filler response dynamics and electrical percolation of poly(ethylene succinate)/multiwall carbon nanotube (MWCNT) composites are studied. When subjected to AC electric fields in their melt state, PESu/MWCNT composites exhibit dramatic improvements in their transverse electrical conductivity. More importantly, the elevated conductivity values are preserved after matrix solidification. Overall, the experimental results show that the electrified composites exhibit the same electrical conductivity levels as their non‐electrified counterparts at approximately threefold less filler content. The dynamics of the insulator‐to‐conductor transition under an electric field also are studied for these composites and correlate reasonably well with operating parameters, such as electric field intensity, matrix viscosity, and filler content through a relatively simple model. Such a model can serve as an enabling tool in the determination of process conditions for the manufacturing of electrically conducting MWCNT/polymer composites. POLYM. COMPOS., 38:1571–1578, 2017. © 2015 Society of Plastics Engineers
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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".