## 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 74

Page 10

In order to investigate the change in g(2)(r) with C more quantitatively, we

examine the characteristic decay time

C. Characteristic Decay Time

ICF can be discussed by using the characteristic decay time

P(r"l ), which is obtained by Laplace transform of g(2)(r). as follows, where T is the

characteristic decay rate (an inverse of the characteristic decay time, r"1). We

define the ...

In order to investigate the change in g(2)(r) with C more quantitatively, we

examine the characteristic decay time

**distribution**function, P(r"'), as a function ofC. Characteristic Decay Time

**Distribution**Analysis The characteristic behavior inICF can be discussed by using the characteristic decay time

**distribution**function,P(r"l ), which is obtained by Laplace transform of g(2)(r). as follows, where T is the

characteristic decay rate (an inverse of the characteristic decay time, r"1). We

define the ...

Page 11

Note that the maximum position moves toward a larger value of r-1 with C. A very

broad

mM where the gelation threshold is located. For C ^ 200 mM, a unimodal

i.e., a single exponential behavior in g(2)(r). In the case of linear PNIPA, such a

broadening in P(r-1) was not observed. These results were interpreted as follows:

In the ...

Note that the maximum position moves toward a larger value of r-1 with C. A very

broad

**distribution**is observed at the concentration regime between 88 and 100mM where the gelation threshold is located. For C ^ 200 mM, a unimodal

**distribution**is recovered, which corresponds to the so-called gel mode scattering,i.e., a single exponential behavior in g(2)(r). In the case of linear PNIPA, such a

broadening in P(r-1) was not observed. These results were interpreted as follows:

In the ...

Page 247

PROPERTIES OF HYPERBRANCHED STRUCTURES MOLAR MASS

polymers was calculated by Flory more than 50 years ago [14]. Only a few years

later the

15]. Details of the lengthy equations are given in a recent review and in the

original papers [16]. Figure 21.3 demonstrates the difference in the molar mass

PROPERTIES OF HYPERBRANCHED STRUCTURES MOLAR MASS

**DISTRIBUTIONS**The weight fraction molar mass**distribution**for common AB2polymers was calculated by Flory more than 50 years ago [14]. Only a few years

later the

**distributions**for the general cases were given by Erlander and French [15]. Details of the lengthy equations are given in a recent review and in the

original papers [16]. Figure 21.3 demonstrates the difference in the molar mass

**distributions**of the ...### What people are saying - Write a review

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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 | |

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