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相关概念视频

Types of Step-Growth Polymers: Polyesters01:20

Types of Step-Growth Polymers: Polyesters

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The introduction of polyesters has brought major development to the textile industry. The wrinkle-free behavior of polyester blends has eliminated the need for starching and ironing clothes.
Polyesters are commonly prepared from terephthalic acid and ethylene glycol; the crude product is known as poly(ethylene terephthalate) or PET. However, polyesters are synthesized industrially by transesterification of dimethyl terephthalate with ethylene glycol at 150 °C. The two reactants and the...
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Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)

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Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
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Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

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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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Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

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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.
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Ziegler–Natta Chain-Growth Polymerization: Overview01:17

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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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Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

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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...
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PolyID:人工智能用于发现性能优化和可持续的聚合物.

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概括
此摘要是机器生成的。

科学家们开发了机器学习工具PolyID,以从可再生资源中发现高性能生物基聚合物. 这种人工智能加速了对可持续塑料的搜索,并确定了对化石来源材料的有希望的替代品.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 可持续化学 可持续化学

背景情况:

  • 向可持续经济的过渡需要用生物质和废物的聚合物取代化石塑料.
  • 探索可再生原料的巨大潜力,以获得先进的材料性能,在实验上是具有挑战性的.
  • 机器学习提供了一种强大的方法来导航复杂的材料设计空间.

研究的目的:

  • 开发一种机器学习工具,PolyID,用于高效地发现具有增强性能的生物基聚合物.
  • 减少对可再生原料的搜索空间,加快确定可持续聚合物候选物的速度.
  • 为了使生物基聚合物的定量结构-特性关系 (QSPR) 分析.

主要方法:

  • 开发PolyID,一个用于聚合物QSPR分析的多输出图形神经网络.
  • 实施一种新的有效域方法,通过解决数据缺口来提高模型准确性.
  • 对模型进行基准测试,并与现有数据和实验合成的聚合物进行比较.
  • 预测超过140万个潜在的生物基聚合物的特性,这些聚合物来自可访问的小分子.

主要成果:

  • 在测试数据上的玻璃过渡温度预测中,PolyID的平均绝对误差为19.8°C,在实验数据上的平均误差为26.4°C.
  • 确定了五种聚乙烯二甲 (PET) 类似物,预计将改善热和传输性能.
  • 实验验证证证实PET类型的玻璃过渡温度 (85112°C),超过PET的玻璃过渡温度,并与PolyID预测保持一致.
  • 通过对生物基尼龙的债券重要性分析,证明了模型可解释性.

结论:

  • PolyID有效地减少了可再生原料的设计空间,使高性能生物基聚合物的高效发现成为可能.
  • 该工具提供了准确和可解释的预测,帮助研究人员在可持续材料的广景观中进行导航.
  • PolyID促进了新型生物基聚合物的发现,具有卓越的热和传输特性,为更可持续的经济做出了贡献.