Relaxation processes of polar molecules in some organic glasses / Muhammed Abul Kashem. --
Bibliographic record
Abstract
Dielectric absorption studies of a variety \nof polar solutes containing rotatable groups and of \nsome analogous rigid molecules dispersed in (i) an \natactic polystyrene matrix, (ii) glassy o-terphenyl \nand polyphenyl ether have been carried out. Sample \npreparations and the dielectric measurements using \nGeneral Radio 1615-A and 1621 capacitance bridges with \nappropriate temperature-controllable cells have been \ndescribed. The glass transition temperature measurements \nusing the Glass Transition Temperature Measurement \nApparatus have also been described. The experimental \ndata as a function of frequency at different temperatures \nwere subject to analysis by a series of computer programmes \nwritten in APL language. The activation energy barriers \nopposing the dielectric relaxation processes were obtained \nby the application of the Eyring rate equation. \nDifferent types of polar rigid molecules have \nbeen studied mainly to provide sources of relaxation data \nand activation parameters in the three media for comparison \nwith those of flexible molecules of analogous size. \nThe results of these rigid molecules have been used \nto obtain a correlation between enthalpy and entropy of \nactivation; enthalpy of activation and volume needed \nfor the reorientation of the rigid molecules. The \nactivation parameters for the rigid molecules were found \nto depend on the nature of the solvent.
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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) | 0.005 | 0.001 |
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".