## 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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Results 1-3 of 82

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

simulated

for chains with larger loop structures, using equations 8.10 and 8.11. However,

since pK,\ and pre,i>i calculated via M-C are dependent upon Pab,

M° depend ...

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

simulated

**values**of pKj and pre,<>i to estimate x, the fractional loss of elasticityfor chains with larger loop structures, using equations 8.10 and 8.11. However,

since pK,\ and pre,i>i calculated via M-C are dependent upon Pab,

**values**of Mc/M° depend ...

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 0.078, 0.13, 0.184, and 0.275 as the

curves fit the experimental distributions well. These selected

as a function of the corresponding penetration time t in Figure 14.5. Assuming

that the relation ...

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 0.078, 0.13, 0.184, and 0.275 as the

**values**of Dtla2. It is seen that thesecurves fit the experimental distributions well. These selected

**values**are plottedas a function of the corresponding penetration time t in Figure 14.5. Assuming

that the relation ...

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,

with fractal dimension Dm = 1 .2 ± 0.05, equal for all the samples. For q = q\,I(q)

exhibits a maximum indicating a long range order in the gel structure, with an

average mesh size £i = 2nlqi . At larger

scattering ...

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,

with fractal dimension Dm = 1 .2 ± 0.05, equal for all the samples. For q = q\,I(q)

exhibits a maximum indicating a long range order in the gel structure, with an

average mesh size £i = 2nlqi . At larger

**values**of q there is a crossover to thescattering ...

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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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