作者: Benjamin Hosemann , Marco Drache , Sabine Beuermann
关键词:
摘要: Summary The approach used for fitting kinetic coefficients to experimental polymerization data is of minor importance as long the simulation quantities be compared sufficiently fast. Whenever slowed down, example due transfer polymer reactions involved, fit has performed using few iteration steps possible. In this work, aims relation between branching and radius gyration, therefore coupled with a random walk approach, enlarging computational demands further. A Markov Chain used, enabling an optimal usage resources.