EXPERIMENT STUDY OF RUBBER COMPOSITES FILLED WITH CARBON NANOTUBES——EFFECT OF DOSAGE OF CARBON NANOTUBES ON PROPERTY OF COMPOSITES
Bibliographic record
Abstract
The natural rubber composites filled with carbon nanotubes (CNTs) were prepared by mechanical mixing. With the increasing of additive quantum of CNTs, the uniformity of microstructure in composites decreases, and the T_g slight rises. At the same time, the peak in DSC curve attributing to crystallization and melting weakens, and the gel fraction in cured rubber composites decreases. The reinforcing effect of CNTs is manifested in rubber composites, and the rebound degree, the dynamic compress properties of composites is superior. But the tensile and tear properties of rubber filled with CNTs are lower than that of samples filled with carbon black, the difference between them become greater with the increase in the content of reinforcing filler.
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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 | 0.000 | 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".