Dielectric response of various partially cured epoxy nanocomposites
Bibliographic record
Abstract
The purpose of this work is to demonstrate the post-treatment importance using dielectric measurements on nanocomposites. During this post-treatment which is the application of heat over time, crosslinking completes and ageing sets in. Both effects usually take place in the same time. Besides the expected differences between the filled and unfilled epoxy samples, the influence of silane coupling agents and the use of ultrasonic waves on the clay was demonstrated. Since the samples used in the experiment were unusually soft, supposedly because of the insufficient initial curing (4h at 100°C), a total of 38 h of heat treatment was applied, after which an improvement of the mechanical rigidity was noticed. This heat treatment was also considered extremely useful in order to remove humidity from the samples volume. Comparing the results obtained for two samples, with and without the 38h of post treatment, the treated sample was found to have a more stable dielectric response at 20°C.
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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".