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Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision02:43

Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision

The ideal-gas equation, which is empirical, describes the behavior of gases by establishing relationships between their macroscopic properties. For example, Charles’ law states that volume and temperature are directly related. Gases, therefore, expand when heated at constant pressure. Although gas laws explain how the macroscopic properties change relative to one another, it does not explain the rationale behind it.
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

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

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...
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

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...
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Mean free path and Mean free time01:22

Mean free path and Mean free time

Consider the gas molecules in a cylinder. They move in a random motion as they collide with each other and change speed and direction. The average of all the path lengths between collisions is known as the "mean free path."
The Kinetic Model of Gases01:24

The Kinetic Model of Gases

The kinetic model of gases explains the properties of a perfect gas using three main assumptions: molecules move in ceaseless random motion, their size is negligible compared to the distances between them, and they do not interact except during perfectly elastic collisions. The total energy of a gas is the sum of the kinetic energies of all its constituent molecules. The pressure exerted by the gas arises from the continual bombardment of the container walls by billions of colliding molecules.

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相关实验视频

Updated: Jul 12, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

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

Published on: September 26, 2016

粒子,轨迹和扩散:冷却颗粒气体中的随机步行.

Santos Bravo Yuste1, Rubén Gómez González2, Vicente Garzó1

  • 1Universidad de Extremadura, Departamento de Física and Instituto de Computación Científica Avanzada (ICCAEx), E-06006 Badajoz, Spain.

Physical review. E
|February 20, 2026
PubMed
概括

我们得出了一个新的分析表达式,用于颗粒状气体中的标记粒子的平均平方位移 (MSD). 这个公式准确地预测了扩散行为,超过了更简单的近似方法.

科学领域:

  • 物理 物理学 物理
  • 统计力学 统计力学
  • 颗粒状材料 是一种颗粒状材料.

背景情况:

  • 了解颗粒气体中的颗粒扩散对于各种应用至关重要.
  • 标记粒子通常具有与周围颗粒状气体不同的机械性能.
  • 之前的模型在冷却条件下难以准确捕捉扩散动态.

研究的目的:

  • 开发一个准确的分析表达式,用于3D颗粒气体中的标记粒子的平均平方位移 (MSD).
  • 为了验证与数值模拟对导出的表达式.
  • 将新的分析结果与现有的近似值进行比较.

主要方法:

  • 基于连续的迁移,MSD的系列扩展.
  • 作为几何数列的数列的近似值.
  • 对几何数列比率 (Ω) 的分析表达式的推导.
  • 使用直接模拟蒙特卡洛 (DSMC) 方法进行验证.

主要成果:

  • 该MSD系列近似的几何数列与比值 Ω.
  • 获得了3D颗粒气体中 Ω 的明确分析表达式.
  • 衍生出的MSD公式准确地预测了扩散,得到了DSMC的验证.

更多相关视频

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

相关实验视频

Last Updated: Jul 12, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

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

Published on: September 26, 2016

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

  • 新的分析结果显示,与第一索宁近似相比,准确度有所提高.
  • 结论:

    • 对MSD的衍生分析表达式提供了一种简单而准确的方法,用于预测颗粒气体中的标志物扩散.
    • 结果为分析颗粒气体动态提供了有价值的工具.
    • 这些发现表明,更简单的分析模型可以在复杂的系统中实现高精度.