Review on the Monte Carlo method in polymerization processes

被引：0
|
作者：
Liu R. [1 ]
Chen X. [1 ]
机构：
[1] State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou
来源：
Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities | 2021年 / 35卷 / 03期
关键词：
Acceleration; Microscopic qualities; Monte Carlo method; Polymerization;
D O I：
10.3969/j.issn.1003-9015.2021.03.001
中图分类号：
学科分类号：
摘要：
The Monte Carlo method is a statistical method that generates random numbers to obtain the final result according to the probabilities of various events through multiple simulations. With the Monte Carlo method, it is possible to simulate a polymerization process with complex kinetics and predict microscopic properties of a polymer. However, the simulation of polymerization process and prediction of polymer microscopic information by the Monte Carlo method are usually time-consuming. Acceleration of the Monte Carlo simulations for polymerization processes is of great importance. This work is to review the Monte Carlo method and its applications in polymerization processes. The acceleration algorithms of Monte Carlo methods for predicting polymer microscopic qualities are discussed. © 2021, Editorial Board of "Journal of Chemical Engineering of Chinese Universities". All right reserved.
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页码：389 / 399
页数：10
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