## 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 |

### From inside the book

Results 1-3 of 59

Page 21

I 10 100 1000 Figure 2.3 Critical conversion at gelation vs. cyclization

for several sets of kinetics constants. The results of Monte Carlo calculations for

systems consisting of N = 105 units Figure 2.3 that the conversion at gelation ...

I 10 100 1000 Figure 2.3 Critical conversion at gelation vs. cyclization

**parameter**for several sets of kinetics constants. The results of Monte Carlo calculations for

systems consisting of N = 105 units Figure 2.3 that the conversion at gelation ...

Page 33

INPUT

presented in this paper, the values of input

experimental data for DEGDMA [19]. Diffusion controlled kinetics are

incorporated into the model.

INPUT

**PARAMETERS**AND KINETIC CONSTANTS For the model runspresented in this paper, the values of input

**parameters**were taken fromexperimental data for DEGDMA [19]. Diffusion controlled kinetics are

incorporated into the model.

Page 283

However, there is another important aspect: The observed structural variations

seem to be of a stochastic nature or triggered by only small variations in process

However, there is another important aspect: The observed structural variations

seem to be of a stochastic nature or triggered by only small variations in process

**parameters**. Recent results in our lab indicate that there are also examples for ...### What people are saying - Write a review

We haven't found any reviews in the usual places.

### 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

### Common terms and phrases

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