Acoustical Investigations of Molecular Interactions in Polymer Solutions of PAN/Clay Nano composites and DMSO
Bibliographic record
Abstract
Acoustical studies of intermolecular interactions in the polymer solution of PAN / clay nanocomposites and DMSO have been done at 30 degree Celsius using experimental ultrasonic velocity and density data taken from literature. Several acoustical and thermo-dynamical parameters such as isothermal compressibility, adiabatic compressibility, specific heat ratio, volume expansivity, surface tension, specific sound velocity, specific adiabatic compressibility, intermolecular free length, pseudo-Gruneisen parameter and classical absorption coefficient have been evaluated. Some elastic parameters such as Young modulus, shear modulus, bulk modulus and Poisson ratio have also been determined. Non linear parameters such as Moelwyn-Hughes parameter, reduced volume, reduced compressibility, Sharma’s constants, Huggins parameter, isobaric acoustical parameter, isochoric acoustical parameter, isothermal acoustical parameter, fractional free volume, repulsive exponent, thermo acoustical parameter such as A*and B*, Bayer’s non-linear parameter, internal pressure, isochoric thermo-acoustical parameter and isochoric temperature coefficient of internal pressure have also been calculated. The Moelwyn-Hughes parameter has been utilized to establish relation between the Bayer’s non linear parameter, internal pressure and Sharma constant. Relationships among the isobaric, isothermal and isochoric thermo- acoustical parameter have been studied and analyzed for PAN/clay nano composites. The obtained results have been compared with the experimental results as available in literature. The non-ideal behavior of the polymer solution has been explained in terms of its composition and variation of its acoustical and thermo-dynamical parameters. The present treatment offers a convenient method to investigate thermo-acoustic properties and anharmonic behavior of the system under study.
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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 | 0.001 |
| 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".