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相关概念视频

Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

2.9K
Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
2.9K
Polymer Classification: Architecture01:14

Polymer Classification: Architecture

2.7K
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...
2.7K
Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

2.4K
Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
2.4K
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

3.4K
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.
3.4K
Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

2.5K
Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
2.5K
Polymers: Defining Molecular Weight01:01

Polymers: Defining Molecular Weight

2.9K
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...
2.9K

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相关实验视频

Updated: Jul 8, 2025

Fabrication of Large-area Free-standing Ultrathin Polymer Films
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Fabrication of Large-area Free-standing Ultrathin Polymer Films

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在线分类的聚合物薄膜使用机器学习方法.

G Koinig1, N Kuhn1, T Fink1

  • 1Chair of Waste Processing Technology and Waste Management, Department of Environmental and Energy Process Engineering, Montanuniversity Leoben, Franz Josef Straße 18, Leoben 8700, Austria.

Waste management (New York, N.Y.)
|December 10, 2023
PubMed
概括
此摘要是机器生成的。

这项研究开发了机器学习模型来对塑料包装膜废物 (PPFW) 进行分类. 这些模型通过光谱指纹准确地分类薄膜,提高单层和多层塑料的回收效率.

关键词:
循环经济是一个循环经济.片包装 片包装 片包装机器学习 机器学习接近红外光谱学近红外光谱学回收回收是回收的过程.基于传感器的分类

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相关实验视频

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机科学 计算机科学
  • 环境科学 环境科学

背景情况:

  • 塑料包装薄膜废弃物 (PPFW) 在奥地利构成了重大回收挑战,每年有15万被热回收.
  • 目前的方法无法区分机械可回收的单材料和不可回收的多材料薄膜,这阻碍了有效的废物管理.

研究的目的:

  • 开发和验证机器学习模型,用于将PPFW线内分类为单层和多层类别.
  • 提高塑料垃圾的分类能力,从而提高回收率,减少对热回收的依赖.

主要方法:

  • 使用光谱指纹在反射中用于片分析.
  • 应用机器学习模型用于分类.
  • 采用特征选择技术,如主要组件分析 (PCA) 和最小冗余性最大相关性 (MRMR) F-测试,以确定最佳的光谱范围.

主要成果:

  • 在未见的塑料包装膜废弃物样本上获得了85%的预测准确度.
  • 特性选择减少了模型的复杂性和预测时间,而不会影响准确性.
  • 证明了最小的预测延迟,证实了线内适用性.

结论:

  • 基于光谱数据的机器学习模型对于塑料包装薄膜废弃物在线分类是有效的.
  • 开发的模型可以准确地区分单层和多层薄膜,为改进的回收过程铺平道路.
  • 这种方法提供了一个可行的解决方案,以提高PPFW的回收率.