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相关概念视频

Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

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Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
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Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

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Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
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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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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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Polymers02:34

Polymers

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The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the...
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相关实验视频

Updated: Jan 13, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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协聚合物序列调节通过机器学习的反应率指纹实现.

Zexi Zhang1, Chengda Zhou1, Yufei Chen1

  • 1Department of Macromolecular Science, State Key Laboratory of Molecular Engineering of Polymers, Research Center of AI for Polymer Science, Fudan University, Shanghai, 200433, China.

Angewandte Chemie (International ed. in English)
|October 28, 2025
PubMed
概括

本研究介绍了一种机器学习平台,使用反应率指纹 (rFP) 来高效地确定共聚合物的反应率. 这种方法使得按需的聚合物序列可根据先进的材料特性进行定制.

关键词:
聚合物的共聚物.机器学习 机器学习极端聚合方式的多聚化.反应性比率的反应性比率.序列控制控制的时间序列.

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Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
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相关实验视频

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MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups
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科学领域:

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

背景情况:

  • 序列控制对于在先进应用中调整聚合物特性至关重要.
  • 反应率是分析和调节聚合物序列的关键参数.
  • 确定反应率的传统方法是低效的,并且仅限于二进制系统.

研究的目的:

  • 开发一个机器学习平台,以高效地确定反应率.
  • 为了使二进制和三进制共聚合物的反应率分析.
  • 为了促进按需的聚合物序列定制和物质工程.

主要方法:

  • 开发一个机器学习平台,利用新的"反应率指纹" (rFPs).
  • 在数以百万计的RFP中训练深度学习模型,以确定高效率.
  • 应用到二进制和三进制共聚合物与稀疏的实验数据.

主要成果:

  • 从最小的数据中确定反应率的毫秒级别.
  • 在各种条件 (温度,溶剂) 中表现出多功能性.
  • 成功的RFP指导反应设计,用于按需量身定制序列.
  • 确定二进制和三进制的亚热热态共聚合物.

结论:

  • 开发的机器学习平台为确定反应率提供了一个高效的策略.
  • 该方法为测序复杂的聚合物链提供了一个可通用的框架.
  • 这便于精确控制高分子特性,用于先进的应用.