The molecular weight distribution (MWD) is possibly the most important characteristic of a
polymer. Polymers derive many of their physical properties from their MWD. Therefore, since …

Precise simulation of the topology structure of low‐density polyethylene (LDPE) chain is
significant for product properties research. However, the chain structure symbolization …

The non-polar characteristics of polyolefins limit their applications. Introducing polar
functional groups to polyolefins can greatly improve their properties and further expand their …

After almost a century of the discovery of polymers by Hermann Staudinger, modern
technology and life without polymers is impossible to imagine. In past 100 years, numerous …

Polyolefins constitute half of the annual polymer production worldwide. Polyolefins pose
special challenges for their analysis owing to their semicrystalline nature and insolubility in …

The Xylene Soluble (XS) is one of the most important parameters closely related to the
performance of polypropylene (PP) materials. In order to obtain precise and accurate XS …

蒙特卡洛(Monte Carlo) 方法是一种统计性方法, 以概率模型为基础, 通过多次模拟实验推定未知
特性量. 将蒙特卡洛方法应用于聚合反应过程, 可以完整地得到聚合物的微观结构信息 …

聚合物链组成和分布对聚合物的性能具有十分重要的意义. 基于此, 本文参考某企业的单体配方,
首先建立了二元共聚链增长模型, 并采用Monte Carlo 法对苯乙烯-丙烯腈共聚单链的链增长过程 …

The chapter provides a comprehensive overview of the current state-of-the-art of the
hyphenation of polymer LC methods with spectroscopic techniques (FTIR, MS, NMR) …

The composition and distribution of polymer chains are of paramount importance for the
performance of polymers. To address this, this paper, based on a monomer formulation from …