Dielectric properties of epoxy/Montmorillonite nanocomposites and nanostructured epoxy/SiO<inf>2</inf>/Montmorillonite microcomposites
Bibliographic record
Abstract
Microcomposites are a well known class of materials. The enhancement of polymer matrix properties can be explained by the classical mixing law. But if the inclusion size is decreased to reach the nanometric range, the improvement of properties is no more due to mixing effect but to the influence of interface of nanoparticles on the matrix. A new emerging class of materials is composites reinforced with microparticles using a polymer matrix reinforced by nanoparticles. In order to study dielectric properties of such new materials, epoxy composites have been prepared using quartz as micro filler and organically modified Montmorillonite as nanofiller. Transmission Electron Microscopy has been used to determine the structure of the composites, which is neither exfoliated nor intercalated although the C30B stacks thickness is in the nanometric range. Differential Scanning Calorimetry experiments have been carried out to highlight the nano and microparticles effect on the epoxy matrix amorphous structure. The glass transition temperature is slightly affected by C30B addition but the microparticles inclusion produces a drastic decrease from 357K to 325K. The heat capacity step is rather unchanged except for the microcomposite. And finally, the dielectric properties of the materials have been studied by Broadband Dielectric Spectroscopy at different temperatures and frequencies. The relaxation times and the dielectric strengths associated with local β and γ relaxations and main α relaxation have been studied.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".