Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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
Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

3.5K
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...
3.5K
Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

2.5K
Chain-growth or addition polymerization is successive addition reactions of monomers with a polymer chain. In radical chain-growth polymerization, the reaction proceeds via a free-radical intermediate. The free radical is formed from radical initiators, which spontaneously generate free radicals by homolytic fission. Organic peroxides (such as dibenzoyl peroxide, as shown in Figure 1) or azo compounds are popular radical initiators. A low concentration ratio of radical initiator to monomer is...
2.5K
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

3.5K
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.
3.5K
Radical Chain-Growth Polymerization: Mechanism01:09

Radical Chain-Growth Polymerization: Mechanism

2.6K
The radical chain-growth polymerization mechanism consists of three steps: initiation, propagation, and termination of polymerization. The polymerization initiates when a free radical generated from the radical initiator adds to the unsaturated bond in the monomer. The unpaired electron of the free radical and one π electron in the unsaturated bond creates a σ bond between the free radical and the monomer. As a result, the other π electron in the unsaturated bond converts this...
2.6K
Polymers02:34

Polymers

35.9K
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...
35.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Mapping the crystallization landscape of rare earth MOFs: a high-throughput investigation of structure, kinetics, and selectivity.

Chemical science·2026
Same author

Quantitative prediction of siRNA complexation by ionizable drugs enables their codelivery in nanoparticles.

Science advances·2026
Same author

Photochemical post-functionalization of polystyrene enables accelerated chemical recycling.

Chemical science·2026
Same author

Adsorption Hysteresis Under Control: Tuning Host-Guest Interactions via a Genetic Algorithm.

ACS nano·2026
Same author

Discovery of tunable and soluble organic emitters for solid-state lasers with a self-driving laboratory.

Nature communications·2026
Same author

Introduction: Quantum Computing.

Chemical reviews·2026

相关实验视频

Updated: Jul 25, 2025

Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

14.6K

通过代重排增强聚合物数据集.

Stanley Lo1, Martin Seifrid1, Théophile Gaudin2,3

  • 1Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, Canada.

Journal of chemical information and modeling
|June 30, 2023
PubMed
概括
此摘要是机器生成的。

通过重新排列聚合物表示来增强数据并没有显著改善机器学习属性预测. 然而,它增强了对序列依赖性质的分子嵌入,为准确性提供了更多信息.

更多相关视频

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

7.3K
Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
10:58

Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries

Published on: September 6, 2012

10.4K

相关实验视频

Last Updated: Jul 25, 2025

Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

14.6K
Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

7.3K
Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
10:58

Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries

Published on: September 6, 2012

10.4K

科学领域:

  • 聚合物科学 聚合物科学
  • 材料 信息学 信息学
  • 计算化学计算化学

背景情况:

  • 准确的聚合物性质预测依赖于有效的分子表示.
  • 现有的表示可能无法完全捕捉依赖序列的信息.
  • 数据增强技术在其他科学领域也表现有前途.

研究的目的:

  • 通过分子表示重新排列来研究聚合物属性预测的数据增强.
  • 评估增强聚合物数据是否可以提高机器学习模型的性能.
  • 将增强表示与普通分子表示进行比较.

主要方法:

  • 聚合物分子表示的代重排,同时保持连接性.
  • 在三个聚合物数据集上训练机器学习模型,使用原始和增强表示.
  • 评估模型性能并将增强嵌入式与非增强嵌入式进行比较.

主要成果:

  • 数据增强并没有比同等的非增强表示带来显著的改进.
  • 增强为序列主导数据集中的分子嵌入提供了更多信息.
  • 当目标属性主要受到聚合物序列的影响时,观察到性能增长.

结论:

  • 通过表示重新排列来增强聚合物数据显示,对属性预测的一般改进有限.
  • 这种技术可以增强对序列依赖性质的分子嵌入.
  • 进一步的研究可能会探索聚合物信息学的优化增强策略.