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相关概念视频

Polymer Classification: Architecture01:14

Polymer Classification: Architecture

2.8K
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...
3.5K
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
Types of Step-Growth Polymers: Polyesters01:20

Types of Step-Growth Polymers: Polyesters

2.3K
The introduction of polyesters has brought major development to the textile industry. The wrinkle-free behavior of polyester blends has eliminated the need for starching and ironing clothes.
Polyesters are commonly prepared from terephthalic acid and ethylene glycol; the crude product is known as poly(ethylene terephthalate) or PET. However, polyesters are synthesized industrially by transesterification of dimethyl terephthalate with ethylene glycol at 150 °C. The two reactants and the...
2.3K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

3.4K
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...
3.4K
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

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相关实验视频

Updated: Jul 26, 2025

Polymer Microarrays for High Throughput Discovery of Biomaterials
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机器学习中的新兴趋势:聚合物视角

Tyler B Martin1, Debra J Audus1

  • 1National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.

ACS polymers Au
|June 19, 2023
PubMed
概括
此摘要是机器生成的。

机器学习和人工智能正在革新聚合物科学,解决独特的聚合物挑战. 本综述强调了聚合物人工智能的新兴趋势和未来方向.

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Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
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科学领域:

  • 聚合物科学 聚合物科学
  • 材料科学 材料科学 材料科学
  • 数据科学数据科学数据科学

背景情况:

  • 在过去五年中,聚合物科学中的机器学习 (ML) 和人工智能 (AI) 应用显著增长.
  • 聚合物对传统的ML / AI方法提出了独特的挑战.
  • 现有的评论文献还没有完全捕捉到新兴趋势.

研究的目的:

  • 突出应用ML/AI到聚合物科学中的独特挑战.
  • 专注于新兴趋势和在现场讨论较少的主题.
  • 为ML/AI在聚合物科学中提供前景并确定关键增长领域.

主要方法:

  • 对用于聚合物科学的ML和AI近期进展的审查.
  • 识别新兴趋势和尚未探索的研究领域.
  • 综合从更广泛的材料科学社区的见解.

主要成果:

  • 识别聚合物数据分析和建模中的特定挑战.
  • 突出针对聚合物系统量身定制的新型ML/AI技术.
  • 讨论代表性不足的领域,如聚合物信息学和生成模型.

结论:

  • 机器学习和人工智能对于加速聚合物发现和设计至关重要.
  • 未来的研究应该专注于开发聚合物专用算法和数据基础设施.
  • 聚合物科学家和人工智能专家之间的跨学科合作对于进步至关重要.