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相关概念视频

Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

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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...
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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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Olefin Metathesis Polymerization: Overview01:13

Olefin Metathesis Polymerization: Overview

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Recently, the development of olefin metathesis polymerization advanced the field of polymer synthesis. Simply put, the reorganization of substituents on their double bonds between two olefins in the presence of a catalyst is known as the olefin metathesis reaction. The use of metathesis reaction for polymer synthesis is called olefin metathesis polymerization.
Ruthenium-based Grubbs catalyst is the most commonly used catalyst for olefin metathesis polymerization. Grubbs catalyst consists of a...
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Radical Chain-Growth Polymerization: Overview01:10

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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...
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Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

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Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
2.2K
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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通过AI/ML驱动的聚合和共聚合利用数据和控制.

Rigoberto Advincula1, Ilia Ivanov1, Rama Vasudevan1

  • 1Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. advincularc@ornl.gov.

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概括
此摘要是机器生成的。

人工智能和机器学习 (AI/ML) 可以优化聚合物合成. 这种方法使用连续流反应器和实时监控来精确控制共聚合过程.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 聚合物化学 聚合物化学
  • 人工智能的人工智能

背景情况:

  • 聚合物开发的传统方法通常是缓慢的,并且依赖于试错.
  • 改善现有聚合物的性能对于各种应用至关重要.
  • 人工智能/ML提供了一种强大的方法来加速材料的发现和优化.

研究的目的:

  • 展示AI/ML协议,以优化聚合和共聚合.
  • 为了实现目标的聚合物特性,而无需进行广泛的重制.
  • 为自主聚合物制造建立一个框架.

主要方法:

  • 利用AI/ML优化合成和制造.
  • 使用带有集成传感器的自动驾驶连续流化学反应器.
  • 通过在线监控和反循环实现实时ML.
  • 使用ML精制经典方程,如梅奥-易斯方程 (MLE).

主要成果:

  • 通过AI/ML证明了通过聚合物的层次优化协议.
  • 最初的结果显示ML对MLE的改进以及对时间序列数据的分析.
  • 建立了一个自主流动反应堆系统作为数据生成平台.

结论:

  • 通过AI/ML,可以精确控制共聚合过程.
  • 自主,人工智能引导的协议可以导致未来制造新型聚合物.
  • 这项工作为数据驱动的加速材料科学奠定了基础.