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相关概念视频

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

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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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Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
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The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
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Atomic Nuclei: Nuclear Spin State Population Distribution01:14

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Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
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职位排序对传播的影响:一项统计研究

J Carter Stotts1, Xiaochuan Tang2, Gregory B Thompson3,4

  • 1School of Materials Science and Engineering, Colorado State University, Fort Collins, CO, United States of America.

Journal of physics. Condensed matter : an Institute of Physics journal
|September 25, 2024
PubMed
概括

短距离订单显著影响材料中的标记剂扩散. 这项研究表明,当地的原子排列,而不是远程排列,是理解空位自我扩散动态的关键.

关键词:
伊辛格模型是一个模型.蒙特卡罗的蒙特卡罗是一个非常好的城市.相关联效应是相关联效应.扩散扩散是一种扩散.kMCMC 在这里.长期订单的订单范围很长.短期订单是指短期订单.

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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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科学领域:

  • 材料科学 材料科学 材料科学
  • 凝聚物质物理学 凝聚物质物理学
  • 计算材料科学科学 计算材料科学

背景情况:

  • 了解空缺扩散对于物质属性至关重要.
  • 顺序相可以影响原子的移动性.
  • 格子结构和能量决定了扩散途径.

研究的目的:

  • 研究空缺阶段和自我扩散之间的关系.
  • 分析不同的有序结构如何影响标记物扩散性.
  • 开发一个模型来预测有序材料中的扩散行为.

主要方法:

  • 在正方形格子上模拟了三个有序相,使用伊辛格模型的哈密尔顿数.
  • 采用无排斥的动力蒙特卡洛模拟来确定标记物扩散率.
  • 在棋盘结构中开发了扩散的分析模型.

主要成果:

  • 识别了基于格子能量学的象棋板,口和迷宫有序结构.
  • 在无序和有序配置之间比较了标志物扩散性.
  • 分析模型准确地预测了扩散的激活能量.

结论:

  • 短距离订单比远距离订单对追踪器扩散的影响更大.
  • 了解当地的原子安排对于预测空缺扩散至关重要.
  • 开发的分析模型提供了对有序材料中的扩散机制的见解.