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相关概念视频

Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

2.8K
Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
2.8K
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
Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

2.4K
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...
2.4K
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
Molecular Models02:00

Molecular Models

38.2K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
38.2K
Polymers02:34

Polymers

35.7K
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...
35.7K

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相关实验视频

Updated: Jun 22, 2025

Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering
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Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering

Published on: August 14, 2018

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通过机器学习来服二维聚合,发现了结晶模型.

Jiaxin Tian1, Kiana A Treaster2, Liangtao Xiong1

  • 1School of Microelectronics, Shanghai University, Jiading, Shanghai, 201800, China.

Angewandte Chemie (International ed. in English)
|July 3, 2024
PubMed
概括
此摘要是机器生成的。

一个新的机器学习模型,NEGEN1,提供了对二维共价有机框架 (2D COF) 的形成的定量见解. 这可以通过优化单体添加速度来快速合成大型二维COF晶体.

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Assessing Two-dimensional Crystallization Trials of Small Membrane Proteins for Structural Biology Studies by Electron Crystallography
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Assessing Two-dimensional Crystallization Trials of Small Membrane Proteins for Structural Biology Studies by Electron Crystallography

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Microfluidic Preparation of Liquid Crystalline Elastomer Actuators
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Microfluidic Preparation of Liquid Crystalline Elastomer Actuators

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相关实验视频

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Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering
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Assessing Two-dimensional Crystallization Trials of Small Membrane Proteins for Structural Biology Studies by Electron Crystallography
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Microfluidic Preparation of Liquid Crystalline Elastomer Actuators
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科学领域:

  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.
  • 计算化学计算化学

背景情况:

  • 高质量的二维共价有机框架 (2D COF) 的快速合成对于它们的应用至关重要.
  • 目前的合成策略依赖于经验理解,缺乏优化量的定量指导.

研究的目的:

  • 开发一种定量模型,以了解和优化2D COF结晶.
  • 克服传统模型在描述非经典结晶过程中的局限性.

主要方法:

  • 使用机器学习方法来导出2D COF形成的自下而上的模型 (NEgen1).
  • 合成条件和动力参数 (核化,生长,键形成) 之间的确立相关性.

主要成果:

  • NEgen1模型准确地描述了2D COF合成中的核化延长机制.
  • 揭示了核和生长之间的动态,挑战了以前的经验模型.
  • 确定了逐渐增加单体添加速度以实现快速晶体生长的最佳策略.

结论:

  • NEgen1模型为优化二维COF合成条件提供了精确的指导.
  • 证明了大型COF-5合体的快速合成,改善了晶体质量.
  • 突出了用于各种应用的二维COF合成系统改进的潜力.