Effect of Nanofiller Geometry on Network Formation in Polymeric Nanocomposites: Comparison of Rheological and Electrical Properties of Multiwalled Carbon Nanotube and Graphene Nanoribbon
Bibliographic record
Abstract
The present work reveals results on the network formation of graphene nanoribbon (GNR) synthesized using a nonoxidative technique from multiwalled carbon nanotube (MWCNT). MWCNT and GNR presented comparable powder conductivity and dispersion state in a poly(vinylidene fluoride) (PVDF) matrix. This enabled us to purely discern the effect of geometrical features of the nanofillers on network formation by comparing the rheological and electrical percolation in the PVDF matrix. Unique features of the rheological response of PVDF/GNR nanocomposites, such as abrupt transition to a solid state, were interpreted according to a network structure activated by the formation of primary and secondary entanglements between adsorbed and bulk polymer chains. However, MWCNT nanocomposites presented a rheological behavior consistent with a strongly flocculated network structure formed through the direct tube–tube contacts and mechanical entanglements. Poor broadband electrical conductivity of the GNR nanocomposites compared to their MWCNT counterparts confirmed our conclusion from the rheological results.
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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 | 0.001 | 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 | 0.001 |
| 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".