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相关概念视频

Radical Chain-Growth Polymerization: Mechanism01:09

Radical Chain-Growth Polymerization: Mechanism

2.5K
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...
2.5K
Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

1.9K
The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
1.9K
Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

2.4K
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...
2.4K
Free-Radical Chain Reaction and Polymerization of Alkenes02:35

Free-Radical Chain Reaction and Polymerization of Alkenes

7.7K
The conversion of alkenes to macromolecules called polymers is a reaction of high commercial importance. The structure of the polymer is defined by a repeating unit, while the terminal groups are considered insignificant. The average degree of polymerization represents the number of repeating units in the polymer molecule and is denoted by the subscript n.
7.7K
Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

2.3K
The cationic polymerization mechanism consists of three steps: initiation, propagation, and termination. In the initiation step of the polymerization process, the π bond of a monomer gets protonated by the Lewis acid catalyst, which is formed from boron trifluoride and water. The protonation of the π bond generates a carbocation stabilized by the electron‐donating group. In the propagation step, the π bond of the second monomer acts as a nucleophile and attacks the...
2.3K
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

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Updated: Jun 10, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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一个机器学习模型用于预测自由基聚合的传播速率系数.

Yiming Wang1, Yue Fang1, Haifan Zhou1

  • 1Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China.

Molecules (Basel, Switzerland)
|October 16, 2024
PubMed
概括

一个新的机器学习模型仅使用单质结构预测自由基聚合 (FRP) 传播速率系数 (kp). 这种高效的方法为各种FRP单体提供了准确的预测,有助于动力建模.

科学领域:

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

背景情况:

  • 传播速率系数 (kp) 对自由基聚合 (FRP) 动力学至关重要.
  • 确定 kp 的实验和计算方法耗时且资源密集.

研究的目的:

  • 开发一个高效和准确的机器学习模型来预测Kp.
  • 为了利用单体结构特征进行kp预测,避免大量的实验或计算工作.

主要方法:

  • 开发了一种使用分子嵌入和拉索回归的机器学习模型.
  • 该模型仅依赖FRP所涉及的单体的结构特征.

主要成果:

  • 在四种新单体中获得了5.49%的平均绝对百分比误差 (MAPE),证明了强大的概括性.
  • 准确预测了的侧链长度对 (甲基) 烯酸盐的Kp的影响,与科学知识相一致.

结论:

  • 开发的模型提供了一种快速,准确和可靠的方法来获得kp值.
  • 该模型可以对广泛的 (甲基) 烯酸和丁烯FRP单体进行概括,支持聚合动态建模.
关键词:
分子变压器嵌入式斯米莱斯 (SMILES) 是一个有趣的游戏.拉索回归是一种回归方式.传播速率系数 传播速率系数

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