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相关概念视频

Entropy02:39

Entropy

29.4K
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...
29.4K
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

1.1K
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
1.1K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.5K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.5K
First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

5.1K
Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
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First Law: Particles in One-dimensional Equilibrium01:10

First Law: Particles in One-dimensional Equilibrium

6.9K
Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
6.9K
Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision02:43

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

34.0K
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.
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相关实验视频

Updated: Jun 23, 2025

Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System
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Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System

Published on: June 5, 2014

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运行和倒的粒子的 entropy 生产.

Matteo Paoluzzi1, Andrea Puglisi2,3, Luca Angelani2,3

  • 1Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Via Pietro Castellino 111, I-80131 Napoli, Italy.

Entropy (Basel, Switzerland)
|June 26, 2024
PubMed
概括
此摘要是机器生成的。

我们分析了run-and-tumble模型中的产量,使用福克-普朗克方程获得了对异构和多维运动的准确结果. 这为理解复杂系统中的非平衡统计力学提供了一个框架.

关键词:
有活性物质的活性物质.的生产产生.准确的结果 结果 结果.没有平衡的不平衡.运行和的运动运动.

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Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
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Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence

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

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相关实验视频

Last Updated: Jun 23, 2025

Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System
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Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
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Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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科学领域:

  • 统计力学 统计力学
  • 非平衡物理 不平衡物理
  • 理论生物物理学 理论生物物理学

背景情况:

  • 运行和倒模型对于描述活性物质动态是至关重要的.
  • 了解生成是描述非平衡过程的关键.
  • 福克-普朗克方程为分析随机系统提供了一个强大的框架.

研究的目的:

  • 在各种运行和倒模型中分析产量.
  • 为了获得简单和复杂场景的确切结果.
  • 将分析扩展到异构和多维系统.

主要方法:

  • 在一个维度中使用福克-普朗克方程的一般形式主义.
  • 导出自由和受限粒子的确切结果.
  • 扩展到不同的速度和翻转率的异构运动.
  • 对空间依赖参数和d维运动的分析.

主要成果:

  • 在简单和异构的情况下,用于产量率的确切表达式.
  • 分析异质和多维运行和倒运动的框架.
  • 通过一般形式主义验证已知的结果.

结论:

  • 这项研究为运行和倒模型中的生成提供了一个全面的框架.
  • 准确的结果可用于各种物理情况,包括异构和d维的情况.
  • 这些发现有助于理解活性物质中的非平衡统计力学.