## Synthetic versus biological networksThe Wiley Polymer Networks Group Review Series Volume 2 Synthetic versus Biological Networks Edited by B. T. Stokke and A. Elgsaeter The Norwegian University of Science and Technology, Trondheim, Norway This, the second volume in the series, presents articles from the 14th Polymer Networks Group conference which took place in Norway in July 1998 The focus of the conference was 'Synthetic versus Biological Networks' with papers highlighting the different ideas emerging from investigations into synthetic polymer networks as opposed to, and in comparison with, polymer networks of biological origins. The papers published in this volume have been divided into six sections: Network Formation Network Characterization Polymer Networks and Precursor Architectures Biopolymer Networks and Gels Biomedical Applications of Polymer Networks Polymer Networks in Restricted Geometries |

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Page 119

CORRELATION OF SIMULATED LOOP DISTRIBUTIONS AND EXPERIMENTAL

MODULUS MEASUREMENTS The experimentally determined

the series of PU networks listed in Table 8.1 were used in conjunction with ...

CORRELATION OF SIMULATED LOOP DISTRIBUTIONS AND EXPERIMENTAL

MODULUS MEASUREMENTS The experimentally determined

**values**MJM° forthe series of PU networks listed in Table 8.1 were used in conjunction with ...

Page 174

In order to compare the concentration (intensity) distributions in Figure 14.4 with

theoretical ones, we calculated equation (14.1) as a function of r for various

select ...

In order to compare the concentration (intensity) distributions in Figure 14.4 with

theoretical ones, we calculated equation (14.1) as a function of r for various

**values**of Dtla2. The solid curves in the figure were those obtained when weselect ...

Page 374

The scattered intensity distribution l(q) of all the gels was characterized by three

different regimes, delimited for each gel by a pair of q

for q\ < q < qil(q) decays as a power law, I(q) oc <7-Dm, typical of mass fractals, ...

The scattered intensity distribution l(q) of all the gels was characterized by three

different regimes, delimited for each gel by a pair of q

**values**, qx and qi, by which,for q\ < q < qil(q) decays as a power law, I(q) oc <7-Dm, typical of mass fractals, ...

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### Contents

Modelling of Network Polymerization with Intramolecular | 15 |

Primary Cyclization Reactions in Crosslinked Polymers | 27 |

Networks Monte Carlo Simulations for Coatings Research | 39 |

Copyright | |

34 other sections not shown

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1999 John Wiley amphiphilic APCNs B.T. Stokke behavior birefringence calculated cell chains Chem chemical concentration conetworks copolymers counter ions crosslinking curing curves cyclization decrease deformation dendrimer dependence deswollen diacetylene diffusion diol distribution double bond dynamic dynamic light scattering Edited by B.T. effect elastic Elgsaeter end-groups equation experimental formation formed function functional groups gel point gelatin gelation Group Review Series hydrogel hydrogel tube hyperbranched increase inhomogeneities kinetics light scattering linear Macromolecules macromonomer materials measurements mechanical method modulus molecular weight molecules monomer network structure Networks Group Review NIPAAm obtained osmotic parameters particles pendant phase separation Phys PNIPA polyelectrolyte polyester Polymer Networks Group polymerization polyurethane prepared properties PVA hydrogel QSPR ratio reacted reaction reactive Review Series Vol rheological Sakyo-ku sample scattered intensity shear rate shown in Figure solvent Stokke swollen temperature transition values viscoelastic viscosity weight fraction Wiley Polymer Networks