Electrified Polyolefin/Multiwall Carbon Nanotube Composites Exhibit Dramatic Changes in Electrical Conductivity, Permittivity, and Filler Structure
Bibliographic record
Abstract
Electrically insulating polyolefin composites containing well‐dispersed multiwall carbon nanotubes up to 3 wt.‐% are subjected to AC electric fields in the range of 71–212 kV m −1 . Their resulting filler structure, DC conductivity, and AC dielectric properties are compared with the respective properties of their non‐electrified and annealed counterparts. As evidenced by TEM, electrification causes the formation of aligned filler structures in the direction of the electric field within the composite, whereas annealing alone results in the formation of randomly interconnected nanotubes. Dielectric spectroscopy shows that, due to their ordered carbon nanotube structures, the electrified composites exhibit substantially higher conductivity and storage capacity compared to the as‐compounded composites and consistently better electrical properties than their annealed counterparts. An equivalent circuit model is fitted to the experimentally obtained impedance data in order to correlate the effects of electric field and processing time to the resulting dielectric characteristics of the treated composites.
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 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) | 0.001 | 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".