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関連する概念動画

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
Polymers: Defining Molecular Weight01:01

Polymers: Defining Molecular Weight

2.7K
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...
2.7K
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
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
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: 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

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関連する実験動画

Updated: May 22, 2025

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

Published on: June 10, 2018

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分子重量分布ベースの機械学習によるポリマーの設計

Jenny Hu1, Zachary M Sparrow1, Brian G Ernst1

  • 1Department of Chemistry and Chemical Biology, Baker Laboratory, Cornell University, Ithaca, New York 14853, United States.

Journal of the American Chemical Society
|March 14, 2025
PubMed
まとめ
この要約は機械生成です。

研究者は,ポリマーの分子量分布と高密度ポリエチレン (HDPE) の性質を結びつけるための機械学習モデルを開発しました. これにより,HDPEのカスタム素材の設計とプラスチック廃棄物のリサイクルが可能になり,環境への影響が軽減されます.

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

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Characteristics of Precipitation-formed Polyethylene Glycol Microgels Are Controlled by Molecular Weight of Reactants
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Characteristics of Precipitation-formed Polyethylene Glycol Microgels Are Controlled by Molecular Weight of Reactants

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関連する実験動画

Last Updated: May 22, 2025

Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry
06:56

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

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Polymer Microarrays for High Throughput Discovery of Biomaterials
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Characteristics of Precipitation-formed Polyethylene Glycol Microgels Are Controlled by Molecular Weight of Reactants
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Characteristics of Precipitation-formed Polyethylene Glycol Microgels Are Controlled by Molecular Weight of Reactants

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科学分野:

  • ポリマー科学
  • 材料科学
  • 機械学習

背景:

  • 高密度ポリエチレン (HDPE) は広く使用され,環境問題も深刻です.
  • プラスチックの廃棄物と材料の使用に対する持続可能な解決策の開発は極めて重要です.

研究 の 目的:

  • 分子重量分布に基づいてHDPEの物理的性質を予測するための機械学習アプローチを作成する.
  • 調整可能な特性を持つHDPEを設計し,消費後のポリエチレン廃棄物の再利用を可能にします.

主な方法:

  • ポリマーの分子量分布 (MWD) とHDPEの伸縮性およびリオロジック性との関係をマッピングするために機械学習を使用した.
  • 開発された機械学習モデルを通じて,ユーザー指定の特性を持つHDPE素材を生成します.

主要な成果:

  • MWDとHDPEの物理的特性を関連付ける予測モデルを成功裏に確立しました.
  • 望ましい,ユーザー定義された性質を持つHDPEを設計し,生成する能力を実証した.
  • 消費後のポリエチレン廃棄物の再利用の可能性を示した.

結論:

  • 機械学習のアプローチは,改良された特性を持つ次世代の商品材料の設計を容易にする.
  • この方法により,より効率的なポリマーのリサイクルが可能になり,HDPEの環境への影響が著しく低下します.