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相关概念视频

Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

3.2K
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.
3.2K
Polymers02:34

Polymers

34.7K
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...
34.7K
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.1K
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...
2.1K
Polymers: Defining Molecular Weight01:01

Polymers: Defining Molecular Weight

2.8K
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...
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: Architecture01:14

Polymer Classification: Architecture

2.6K
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...
2.6K

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相关实验视频

Updated: May 28, 2025

Polymer Microarrays for High Throughput Discovery of Biomaterials
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Polymer Microarrays for High Throughput Discovery of Biomaterials

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在聚合物研究中的机器学习.

Wei Ge1,2, Ramindu De Silva1,2,3, Yanan Fan2,3

  • 1School of Chemistry, University of New South Wales, Sydney, 2052, Australia.

Advanced materials (Deerfield Beach, Fla.)
|February 10, 2025
PubMed
概括
此摘要是机器生成的。

聚合物化学中的机器学习 (ML) 面临着数据质量和模型适用性的挑战. 本综述强调了数据策划,聚合物合成和建模方面的进展,以改进ML应用程序来预测聚合物特性.

关键词:
公平的数据是公平的.化学描述符 化学描述符 化学描述符机器学习是机器学习.聚合物是一种聚合物.

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Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry
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Author Spotlight: Real-Time Imaging of Bonding in 3D-Printed Layers
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相关实验视频

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Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry
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Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry

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Author Spotlight: Real-Time Imaging of Bonding in 3D-Printed Layers
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Author Spotlight: Real-Time Imaging of Bonding in 3D-Printed Layers

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科学领域:

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

背景情况:

  • 机器学习 (ML) 在聚合物化学中越来越多地用于将化学结构与宏观性质相关联.
  • 挑战包括数据集有限/管理不善,广泛的分子量分布和不规则的聚合物配置.
  • 现成的ML模型通常需要针对特定的聚合物应用进行改进.

研究的目的:

  • 为了解决ML应用的聚合物化学中的数据集策划障碍.
  • 突出聚合物合成和建模方面的进展,以提高数据可用性.
  • 调查ML方法来预测聚合物特性,并探索新兴的应用.

主要方法:

  • 在聚合物化学中对ML的当前文献的综述.
  • 讨论数据集策划策略和聚合物合成方面的进展.
  • 对应用ML模型进行调查,以预测固态特性,溶液行为和复合材料性能.
  • 探索ML在新兴领域,如药物输送和聚合物生物学接口.

主要成果:

  • 确定了将ML应用于聚合物化学数据的关键挑战.
  • 突出了聚合物合成和数据管理方面的进展,提高了ML的适用性.
  • 调查了各种ML应用,从财产预测到药物输送.
  • 强调了化学家和数学家之间合作的必要性.

结论:

  • 在聚合物化学中成功的ML应用需要解决数据限制和改进模型.
  • 公平的数据原则和聚合物理论与数据的整合至关重要.
  • 机器-人界面对于有效的协作和创新至关重要.