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Simultaneous long-chain branching and random scission: I. Monte Carlo simulation

✍ Scribed by Hidetaka Tobita


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
254 KB
Volume
39
Category
Article
ISSN
0887-6266

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πŸ“œ SIMILAR VOLUMES


Molecular Weight Development during Simu
✍ Hidetaka Tobita πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 139 KB

## Abstract A general matrix formula is proposed for the weight‐average molecular weights of the polymer systems formed through simultaneous scission, branching and crosslinking of __N__ types of chains, assuming the chain connection statistics are Markovian. For the polymerization systems in which

Molecular Weight Development during Simu
✍ Hidetaka Tobita πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 156 KB

## Abstract The matrix formula developed in Part 1 of this series is applied to describe the molecular weight development during free‐radical (co)polymerization. All of the required probabilistic parameters are expressed in terms of the kinetic rate constants and pertinent concentrations. In free‐r

Monte Carlo Simulation of Long-Chain Bra
✍ Daryoosh Beigzadeh πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 148 KB

## Abstract A Monte Carlo model for the polymerization of ethylene with long‐chain branch formation using dual‐site catalyst systems was developed. It was shown that, unlike single‐site catalyst systems, a detailed knowledge of the specifics of catalyst sites and reactor conditions is essential to

Random End-Switching Configurational Bia
✍ Emmanuel Karaiskos; Jason deJoannis; Spiros H. Anastasiadis; Ioannis A. Bitsanis πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 158 KB

## Abstract **Summary:** The exponential attrition of configurational bias Monte Carlo for long chains can be reduced to almost quadratic by a simple modification of the basic move. Each trial move begins on the side of the remaining sub chain opposite to the cut location. This type of move is akin