## 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. |

### From inside the book

Results 1-3 of 41

Page 8

It is well known that in a

are Brownian: the fact has been predicted by Flory and experimentally verified.

Still this result is far from beeing obvious: a polymer is always self- avoiding, even

in ...

It is well known that in a

**melt**made of long monodisperse polymers the chainsare Brownian: the fact has been predicted by Flory and experimentally verified.

Still this result is far from beeing obvious: a polymer is always self- avoiding, even

in ...

Page 67

an order of magnitude this latter corresponds to more than 50 times the maximum

relaxation time of a polystyrene chain of 100000 molecular weight in a

same chains and around one time the same quantity for a molecular weight of ...

an order of magnitude this latter corresponds to more than 50 times the maximum

relaxation time of a polystyrene chain of 100000 molecular weight in a

**melt**ofsame chains and around one time the same quantity for a molecular weight of ...

Page 204

We found that, just as for the

gives an extremely good fit to the experimental P(Q). The fining procedure gives

the mean-square radius of gyration as before. An important feature of the present

...

We found that, just as for the

**melts**data, the Bcnoit scattering function P0(Q)gives an extremely good fit to the experimental P(Q). The fining procedure gives

the mean-square radius of gyration as before. An important feature of the present

...

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### Contents

Remarks | 2 |

The BaumgartnerMuthukumar Effect in Networks | 11 |

Statistical Mechanics of dDimensional Polymer Networks and Exact | 17 |

Copyright | |

13 other sections not shown

### Other editions - View all

Molecular Basis of Polymer Networks: Proceedings of the 5th IFF-ILL Workshop ... Artur Baumgärtner,Claude E. Picot No preview available - 2011 |

### Common terms and phrases

42 Molecular Basis 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 effect elastic free energy elementary strand elongation entanglements entropy equation equilibrium excluded volume experimental experiments exponent Flory Flory-Huggins Flory-Huggins theory fluctuations fractal dimension free chains free energy Gaussian gelation Gennes helix increases interaction parameter isotropic labelled paths layer length linear Macromolecules macroscopic measurements melt micronetworks modulus molecular weight monomers network chains neutron scattering observed obtained PDMS chains phantom network Phys polybutadiene polyelectrolyte Polymer Networks polymeric fractals polystyrene Proceedings in Physics properties radius of gyration ratio rod network Rouse model rubber elasticity S.F. Edwards sample scaling solution solvent Springer Proceedings star molecules star polymers swelling swollen temperature theory topological uniaxial values vector viscoelastic viscosity volume fraction