Melt-Processing and Properties of Coaxial Fibers Incorporating Carbon Nanotubes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Polypropylene-multiwalled carbon nanotube (PP-CNT) composites were spun into fibers using melt-spinning methods. The CNT content was varied by diluting the commercial masterbatch with a low viscosity PP homopolymer grade. The conductivity, as well as the mechanical properties, of the fibers were systematically tested in order to find the optimal formulation. Post-stretching was used to improve the mechanical properties of the fibers as well as to decrease the fiber diameters. Fibers having a conductivity of 0.4 S/cm, a Young's modulus of 5.4 GPa and a tensile strength of 250 MPa were obtained after a three-fold stretching. Trilayer coaxial fibers similar to data transfer coaxial cables (two conductive layers separated by an insulating layer) were then produced in a one-step melt-spinning method using a specially designed die, followed by solid state post-stretching.
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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 | 0.001 | 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 it