Rheological∕Morphological Study of PS∕CNT Nanocomposite Electrospun Fibers
Bibliographic record
Abstract
This work depicts rheological characteristics of Polystyrene (PS)/Carbon Nanotube (CNT) nanocomposite solutions and their incidence on the morphological properties of final electrospun fibers. Nanocomposite fibers were obtained through electrospinning of PS/Di‐Methyl Formamide (DMF) solutions containing different concentrations and types of Carbon Nanotubes. The morphology of fibers at different concentrations and types of CNTs was studied using Scanning Electron Microscopy (SEM) and Optical Microscopy. Correlation between initial CNT dispersion and final fibers morphologies was obtained using viscometry results and optical microscopy of initial solutions. The results obtained show that beads presence in fibers are due to nanoparticles agglomerations. A styrenic copolymer (Styrene‐Butadiene‐Styrene, SBS‐Kraton) was employed as a compatibilizing agent to improve CNTs dispersion instead of chemical modification. Addition of copolymer affects both final fiber morphologies and CNT dispersion condition.
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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".