The Combined Effects of Temperature and Polymerization Rate Changes on the Real-Time Conduction and Relaxation of a Liquid, and the Evolution of Localized Motions
Bibliographic record
Abstract
Simultaneous, real-time calorimetry and dielectric spectrometry were performed to study the manner in which molecular dynamics of a polymerizing liquid (stoichiometric amounts of 4,4‘-diaminodicyclohexylamine and diglycidyl ether of bisphenol A) evolves during the thermal cycle which converts its initially (molecular) liquid to a vitrified solid of a cross-linked network structure without extraneous products and a loss of mass. As the extent of polymerization and temperature increase at a fixed heating rate, the dielectric relaxation spectra broadens, the characteristic relaxation time increases, and the equilibrium dielectric permittivity and dc conductivity decrease. An indication of the localized motions of the Johari-Goldstein relaxation was evident at high frequencies during the course of polymerization. The relaxation dynamics further evolves as further polymerization occurs on heating, and a new relaxation process develops in the partially polymerized state. Its spectra is described by a symmetric distribution of relaxation times, whose width increases on cooling and relaxation strength remains constant. Its relaxation rate follows the Arrhenius equation with an activation energy of 64 kJ/mol. There is also an indication of a further relaxation at high frequencies. The changes in the molecular dynamics observed as the liquid binary mixture at 298 K gradually became a vitrified solid at 393.2 K are expressed in terms of a decrease in the configurational entropy.
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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 | 0.001 |
| 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".