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相关概念视频

Carrier Transport01:21

Carrier Transport

576
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
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Distribution and Dispersion00:54

Distribution and Dispersion

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To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
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Van der Waals Interactions01:24

Van der Waals Interactions

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Atoms and molecules interact with each other through intermolecular forces. These electrostatic forces arise from attractive or repulsive interactions between particles with permanent, partial, or temporary charges. The intermolecular forces between neutral atoms and molecules are ion–dipole, dipole–dipole, and dispersion forces, collectively known as van der Waals forces.
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Diffusion01:21

Diffusion

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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

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Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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Reynolds Transport Theorem01:24

Reynolds Transport Theorem

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The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit...
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The Diffusion of Passive Tracers in Laminar Shear Flow
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在运输现象中,网络驱动的分散.

Margherita Vendruscolo1, Luca Salerno1, Carlo Camporeale1

  • 1Politecnico di Torino, Department of Environment, Land and Infrastructure Engineering (DIATI), Corso Duca degli Abruzzi, 24, 10129 Torino, ITALY.

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概括
此摘要是机器生成的。

这项研究模拟了网络中的标量运输,发现网络连接性显著影响分散. 边缘旅行时间对于信号演变来说比分叉规则更为关键.

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科学领域:

  • 复杂的系统复杂的系统.
  • 网络科学 网络科学
  • 数学建模的数学建模

背景情况:

  • 许多自然和人工过程涉及通过复杂的网络进行定向运输.
  • 了解信号或物质在运输过程中的演变对于各种科学学科至关重要.
  • 网络连接性和元素属性影响运输动态.

研究的目的:

  • 开发一个用于定向网络中的标量运输的数学模型.
  • 分析网络拓学的影响,边缘旅行时间和分叉规则对信号分散的影响.
  • 调查信号演变,包括潜在的衰变过程.

主要方法:

  • 为定向运输网络制定数学模型.
  • 指数边的旅行时间的假设.
  • 分析溶液的导出包括衰变过程.
  • 使用编织河流,随机和小世界网络进行应用和验证.

主要成果:

  • 网络诱导的分散在标尺运输中起着至关重要的作用.
  • 边缘旅行时间在影响运输方面占据主导地位,而不是分叉分裂规则.
  • 随着信号穿过网络,近高斯信号形状出现.
  • 该模型准确地描述了各种网络类型中的运输.

结论:

  • 网络拓和边缘属性显著控制运输动态和分散.
  • 衍生出来的分析解决方案为分析标量运输提供了一个强大的框架.
  • 这些发现在理解不同系统的运输现象方面具有广泛的适用性.