Pressure−Volume−Temperature Dependence of Poly-ε-caprolactam/Clay Nanocomposites
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The pressure−volume−temperature ( PVT ) dependence of commercial poly-ε-caprolactam melt (PA-6) and based on it a nanocomposite containing 1.6 wt % of exfoliated montmorillonite (PNC) as well as their 1:1 mixture was determined at T = 300−560 K and P = 0−150 MPa. Incorporation of clay into PA-6 resulted in lowering the specific volume of PNC by about 1.0%. For all three molten resins excellent agreement between experiment and the results from Simha−Somcynsky lattice−hole theory was found. The hole (free volume) fraction, a sensitive indicator of structural changes, shows a pressure-dependent reduction of ca. 14−15% in PNC as compared with the neat PA-6. An evaluation of the binary interactions from the computed mean scaling parameters of the theory requires definition of the constituents. On the basis of experimental and computer simulation results in the literature, the following model was adopted: Flat disk particles of specified diameter are covered with a uniform layer of solidified PA-6 of specified thickness, thus forming “hairy” clay platelets (HCP). The remainder of PA-6 constitutes the matrix. Its mobility and other properties vary with the distance from the clay surface in the normal direction and reach as an asymptotic limit bulk values. Thus, the characteristic interaction parameters of the matrix vary with the interparticle distance and hence with clay content. The estimated cross-interaction parameters are appropriate averages of the two self-interaction quantities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it