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相关概念视频

Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

4.5K
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...
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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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Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

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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...
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Polymers: Defining Molecular Weight01:01

Polymers: Defining Molecular Weight

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Unlike small molecules with definite molecular weights, polymers are a mixture of individual polymer chains of varying lengths, each with a unique molecular weight.  So, the molecular weight of a polymer is expressed as an average value based on the average size of the polymer chains. The two most common forms of averages used for polymers are the number average molecular weight and weight average molecular weight.
The number average molecular weight (Mn) is the summation of the number...
3.9K
Polymers02:34

Polymers

41.7K
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...
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Polymers02:34

Polymers

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相关实验视频

Updated: Feb 20, 2026

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
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准备好使用的聚合模拟,将通用机器学习原子间潜力与对聚合物和接口设计的时间依赖键增强相结合.

Hodaka Mori1, Shunsuke Tonogai1, Yu Miyazaki1

  • 1Preferred Networks, Inc., Tokyo 100-0004, Japan.

The journal of physical chemistry. B
|February 18, 2026
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概括
此摘要是机器生成的。

这项研究引入了一种新的模拟方法,将通用机器学习原子间潜力 (uMLIP) 与时间依赖的键增强相结合. 这种方法可以高效准确地模拟高级材料的聚合和固化过程.

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学的计算化学
  • 聚合物科学 聚合物科学

背景情况:

  • 模拟聚合和固化对于先进材料至关重要,但由于潜在的精度和罕见的化学事件,具有挑战性.
  • 像ReaxFF这样的现有方法需要系统特定的调整,而通用机器学习原子间潜力 (uMLIP) 的采样效率有限.

研究的目的:

  • 开发一种新的模拟框架,用于高效且可转移的聚合和固化模型.
  • 在模拟复杂化学反应时克服现有的反应力场和UMLIPs的局限性.

主要方法:

  • 将通用机器学习原子间潜力 (uMLIP) 与时间依赖的键增强方案集成.
  • 一个单调增加的偏差潜力加速了没有系统特定参数化的模拟.
  • 一个统一的参数集适用于不同的反应类.

主要成果:

  • 精确地复制了基性聚合的趋势,包括分子重量增长和单体反应性.
  • 捕捉了尼龙-6,6聚凝在高转换的急剧分子量增加.
  • 在铜上的环氧固化中揭示了界面环开和交叉连接,与实验数据一致.

结论:

  • 结合的 uMLIP 和时间依赖的键增强框架使得多聚化和固化的实用,可转移的模拟成为可能.
  • 提供了分子层面的洞察力,了解聚合物生长,界面粘附,机械路径和相对反应性.