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相关概念视频

Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

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Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
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Polymer Classification: Architecture01:14

Polymer Classification: Architecture

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Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
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Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

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Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...
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科学发现框架加速先进的聚合物材料设计

Ran Wang1, Teng Fu1, Ya-Jie Yang1

  • 1The Collaborative Innovation Center for Eco-Friendly and Fire-Safety Polymeric Materials (MoE), National Engineering Laboratory of Eco-Friendly Polymeric Materials (Sichuan), State Key Laboratory of Polymer Materials Engineering, College of Chemistry, Sichuan University, Chengdu 610064, China.

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概括
此摘要是机器生成的。

研究人员开发了一种智能框架,用于发现新型阻燃聚合物. 这种方法使用先进的分析和建模来加速设计更安全的有机材料.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 聚合物化学 聚合物化学
  • 计算化学计算化学

背景情况:

  • 有机聚合物被广泛使用,但易燃性高,构成安全风险.
  • 目前的聚合物设计缺乏对阻燃性的强有力的科学基础.

研究的目的:

  • 为智能聚合物发现开发一个可通用的框架.
  • 为了加快针对性阻燃聚合物的设计.

主要方法:

  • 在现场燃烧分析仪,虚拟反应发生器和材料基因组模型的协同集成.
  • 使用光谱原理捕获燃烧中间体的高通量现场分析.
  • 通过特征工程开发一个包含聚合物结构和中间数据的基因组模型.

主要成果:

  • 该框架实现了高度的通用性,适应了20多种聚合物类型.
  • 基因组模型在预测聚合物特性方面表现出高精度 (88.8%).
  • 成功发现具有阻燃性能的新型聚合物.

结论:

  • 开发的框架允许针对性设计阻燃聚合物.
  • 这种方法显著加速了先进的聚合物材料的发现.
  • 该研究为聚合物创新提供了强大的和可通用的方法.