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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

34.6K
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...
34.6K
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
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
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
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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Updated: May 25, 2025

Polymer Microarrays for High Throughput Discovery of Biomaterials
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在聚合物科学中基于增强的机器学习应用:一篇评论

Ivan Malashin1, Vadim Tynchenko1, Andrei Gantimurov1

  • 1Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Polymers
|February 26, 2025
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概括

机器学习促进方法正在通过增强数据分析和材料设计来彻底改变聚合物科学. 这些强大的算法加速了先进的聚合物材料的发现和优化.

关键词:
在 AdaBoost 中使用 AdaBoost.在 CatBoost 中使用 CatBoost.渐变增强 渐变增强 渐变增强轻GBMM 轻GBM 轻GBM 轻GBM在XGBoost中使用.助推推进度的方法机器学习是机器学习.聚合物科学 聚合物科学

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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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Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
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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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Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
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Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries

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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
  • 计算化学计算化学

背景情况:

  • 聚合物系统日益复杂,需要先进的分析工具.
  • 机器学习 (ML) 为数据分析,材料设计和聚合物科学中的预测建模提供了强大的解决方案.
  • 提升方法对于高维和复杂的聚合物相关问题特别有效.

研究的目的:

  • 为了提供一个全面的概述,促进方法应用在聚合物科学.
  • 突出提升技术对结构-属性关系,聚合物合成和性能预测的贡献.
  • 展示提升方法的潜力,以推进聚合物材料设计,表征和优化.

主要方法:

  • 审查现有的文献和案例研究促进方法在聚合物科学.
  • 分析了包括AdaBoost,梯度提升,XGBoost,CatBoost和LightGBM在内的应用程序.
  • 专注于诸如结构-属性关系,合成,性能预测和表征等领域.

主要成果:

  • 提升方法在分析复杂的聚合物数据方面具有显著的实用性.
  • 这些技术已经成功地应用于预测聚合物特性和指导合成.
  • 案例研究说明了促进材料表征和性能评估的有效性.

结论:

  • 提升方法对于应对现代聚合物科学的挑战至关重要.
  • 它们的应用促进了有效的数据分析,并加速了新型聚合物材料的设计.
  • 本次审查强调了促进技术对未来的聚合物研发的变革潜力.