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相关概念视频

Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

2.7K
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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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
Fermi Level Dynamics01:12

Fermi Level Dynamics

214
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
214
Fermi Level01:18

Fermi Level

435
The Fermi-Dirac function is represented by an S-shaped curve indicating the probability of an energy state being occupied by an electron at a given temperature. The Fermi level is the energy level at which there is a fifty percent chance of finding an electron, and it is positioned between the lower-energy valence band and the higher-energy conduction band.
At absolute zero temperature, electrons fill all energy states up to the Fermi level, leaving upper states empty. As the temperature rises,...
435
Metal-Semiconductor Junctions01:24

Metal-Semiconductor Junctions

272
The contact of metal and semiconductor can lead to the formation of a junction with either Schottky or Ohmic behavior.
Schottky Barriers
Schottky barriers arise when a metal with a work function (Φm) contacts a semiconductor with a different work function (Φs). Initially, electrons transfer until the Fermi levels of the metal and semiconductor align at equilibrium. For instance, if Φm > Φs, the semiconductor Fermi level is higher than the metal's before contact. The...
272
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...
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Monitoring the Effects of Illumination on the Structure of Conjugated Polymer Gels Using Neutron Scattering
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绘制半导体聚合物结构-功能格局的地图.

Hesam Makki1, Colm Burke1, Christian B Nielsen2

  • 1Department of Chemistry, University of Liverpool, Liverpool L69 3BX, UK. h.makki@liverpool.ac.uk.

Materials horizons
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PubMed
概括
此摘要是机器生成的。

研究人员确定了设计更好的半导体聚合物 (SCP) 的关键结构特征. 平面性持久长度是比刚性更优越的度量,用于预测聚合物中的电荷传输.

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科学领域:

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

背景情况:

  • 半导体聚合物 (SCP) 的分子设计依赖于理解电荷传输.
  • 在SCP的结构特征和电子障碍之间的联系还没有得到很好的定义.
  • 目前对先进SCP的设计规则缺乏.

研究的目的:

  • 为半导体聚合物建立具有统计意义的设计规则.
  • 确定管理电子混乱和收费运输的关键结构-财产关系.
  • 探索数据驱动方法加速SCP发现的潜力.

主要方法:

  • 使用高通量方法对100多种p型和n型半导体聚合物模型进行计算分析.
  • 统计分析来推导设计规则并确定结构与财产关系.
  • 机器学习模型开发,根据结构特征预测电子属性.

主要成果:

  • 证明聚合物刚性对电荷传输有很小的影响.
  • 引入并验证了"平面性持久长度"作为更有效的结构特征.
  • 展示了在生成的数据集上训练的机器学习模型的预测能力.

结论:

  • 为半导体聚合物制定了新的,具有统计意义的设计规则.
  • 确定平面性持久长度作为优化电荷传输的关键参数.
  • 强调了数据驱动策略和机器学习的有效性,以加速发现具有定制电子特性的新型SCP.