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Polymer Classification: Architecture01:14

Polymer Classification: Architecture

2.7K
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...
2.7K
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.2K
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...
2.2K
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

3.3K
For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
3.3K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

3.2K
Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta...
3.2K
Polymers02:34

Polymers

35.5K
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...
35.5K
Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

3.4K
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...
3.4K

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相关实验视频

Updated: Jun 15, 2025

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
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Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

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一种基于线性回归和整数编程推断聚合物的方法.

Ryota Ido, Shengjuan Cao, Jianshen Zhu

    IEEE/ACM transactions on computational biology and bioinformatics
    |August 22, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种使用人工神经网络和混合整数线性编程来设计聚合物的新方法. 这种方法成功地预测了聚合物特性,并推断了高达50个原子的结构.

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    Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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    Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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    Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry
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    Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry

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    相关实验视频

    Last Updated: Jun 15, 2025

    Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
    11:34

    Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

    Published on: September 8, 2016

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    Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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    Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry
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    Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry

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    科学领域:

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

    背景情况:

    • 为化学化合物设计提出了一种结合人工神经网络 (ANN) 和混合整数线性编程 (MILP) 的新框架.
    • 现有的方法可能无法完全解决聚合物结构推断和性质预测的复杂性.

    研究的目的:

    • 根据已建立的ANN-MILP框架开发一种新的推断聚合物结构的方法.
    • 在这个框架内,为聚合物引入新的表示和描述符.
    • 在预测聚合物特性框架内评估线性回归的性能.

    主要方法:

    • 将聚合物表示为单体,并定义新的聚合物特定的结构描述符.
    • 在ANN-MILP框架内将线性回归集成为预测建模组件.
    • 进行计算实验以评估预测准确性和推断能力.

    主要成果:

    • 线性回归模型可以有效地预测某些聚合物化学性质.
    • 拟议的方法成功地推断出含有多达50个非原子的单体的聚合物结构.
    • 验证新型聚合物表示和描述器方法.

    结论:

    • 开发的方法有效地扩展了聚合物设计和推理的新型框架.
    • 在这种计算方法中,线性回归是预测特定聚合物特性的一个可行的组成部分.
    • 该方法对设计具有量身定制特征的复杂聚合物具有前景.