Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-05-16
Physics
Condensed Matter
Disordered Systems and Neural Networks
14 pages, 1 figure
Scientific paper
The research is important for a molecular theory of liquid and has a wide interest as an example solving the problem when dynamic parameters of systems can be indirectly connected with their equilibrium properties. In frameworks of the reptation model the power law with the 3.4-exponent for the melt viscosity relation to the molecular weight of linear flexible-chain polymer is predicted as distinct from the value 3 expected for a melt of ring macromolecules. To find the exponent close to experimental values it should be taken into account the rotation vibration precession motion of chain ends about the polymer melt flow direction.
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