Effect of crystallization on intercalation of clay‐polyolefin nanocomposites and their performance
Bibliographic record
Abstract
Abstract Clay‐polypropylene (PP) nanocomposites (NCs) were prepared by melt processing. Two types of PP with different levels of crystallinity were used. Mixtures of the two PPs were made at different ratios that generate a varying degree of crystallinity for the final NC samples. The level of micro‐ and nanodispersion of the organoclays and the microstructure of the resulting NCs were characterized by means of various techniques, including X‐ray diffraction analysis, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and differential scanning calorimetry (DSC). The results have demonstrated the impact of crystallization on the level of clay intercalation. The mechanical performance of the nanocomposites was also evaluated, but a direct relationship between intercalation and mechanical properties cannot be established because of the difference in the mechanical properties of the two PP matrices. POLYM. ENG. SCI. 46:1085–1093, 2006. © 2006 Society of Plastics Engineers
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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 | 0.001 |
| 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".