## Molecular basis of polymer networks: proceedings of the 5th IFF-Ill Workshop, Jülich, Fed. Rep. of Germany, October 5-7, 1988The contributors to this volume appraise our knowledge of the molecular physics of polymer networks and pinpoint areas of research where significant advances can be made using new theories and techniques. They describe both theoretical approaches, based on new theoretical concepts and original network models, and recent experimental investigations using SANS, 2H NMR or QELS. These new techniques provide precise information about network behaviour at the molecular level. Reported results of the application of these and more traditional techniques include the microscopic conformation and properties of permanent networks or gels formed by specific interchain interactions, the behaviour of elastomer liquid crystals, and the static and dynamic properties of star-branched polymers. |

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Results 1-3 of 41

Page 36

Since the interaction parameter increases with orientation the phase separation

tendency is enhanced at larger deformations.

HUGGINS THEORY We have recently gone beyond this approximation and

showed ...

Since the interaction parameter increases with orientation the phase separation

tendency is enhanced at larger deformations.

**FLUCTUATIONS**AND FLORY-HUGGINS THEORY We have recently gone beyond this approximation and

showed ...

Page 37

Thus the

energy has the same functional dependence in the volume fraction and the Flory-

Huggins interaction parameter. Thus we write for the renormalised Flory-Huggins

...

Thus the

**fluctuations**reduce the free energy. This**fluctuation**part of the freeenergy has the same functional dependence in the volume fraction and the Flory-

Huggins interaction parameter. Thus we write for the renormalised Flory-Huggins

...

Page 102

(Cl + C(» - - 1) - 6(* - 2)]} <r,> (2) -1 ~J *(* - 2)($ - i)d 0 where ARj is the

of point j and <r2>0 is the mean-squared chain vector of the network. From these,

one obtains the mean-squared

(Cl + C(» - - 1) - 6(* - 2)]} <r,> (2) -1 ~J *(* - 2)($ - i)d 0 where ARj is the

**fluctuation**of point j and <r2>0 is the mean-squared chain vector of the network. From these,

one obtains the mean-squared

**fluctuation**<(Ar^j)2> of the vector r^j joining the ...### What people are saying - Write a review

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### Contents

Remarks | 2 |

Statistical Mechanics of dDimensional Polymer Networks and Exact | 17 |

FluctuationInduced Deformation Dependence of the FloryHuggins | 35 |

Copyright | |

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anisotropy Basis of Polymer Bastide behaviour blends calculated carrageenan chain segments Chem chemical chemical potential configuration conformation constant constraints corresponding crosslinking curves deformation density dependence deswelling deuterated deviatoric distribution dynamics Editors effect elastic free energy elementary strand elongation entanglements entropy equation equilibrium excluded volume experimental experiments exponent factor Flory Flory-Huggins fluctuations fractal dimension free chains free energy Gaussian gelation Gennes increases interaction parameter isotropic labelled paths length linear Macromolecules macroscopic measurements melt modulus Molecular Basis molecular weight monomers network chains neutron scattering observed obtained P.G. de Gennes PDMS chains phantom network Phys Picot polyelectrolyte Polymer Networks polymeric fractals polystyrene Proceedings in Physics properties radius of gyration ratio reptation rod network Rouse model rubber elasticity sample scaling solution solvent Springer Proceedings star molecules star polymers structure surface swelling swollen temperature theory topological uniaxial values vector viscoelastic viscosity volume fraction