Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Entropy01:18

Entropy

2.6K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
2.6K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.7K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
2.7K
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

5.1K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
5.1K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

23.0K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic...
23.0K
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

18.1K
A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
18.1K
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

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Aromatisation-based extract engineering of <i>Cannabis sativa</i> L. Unveils rare cannabinoids with anticancer potential.

Natural product research·2025
Same author

On the absence of the ultimate regime in turbulent thermal convection.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Assessing the de novo assemblers: a metaviromic study of apple and first report of citrus concave gum-associated virus, apple rubbery wood virus 1 and 2 infecting apple in India.

BMC genomics·2024
Same author

Critical dimension for hydrodynamic turbulence.

Physical review. E·2024
Same author

COVID-19 Pandemic: Power Law Spread and Flattening of the Curve.

Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology·2024
Same author

Methyl jasmonate improves resistance in scab-susceptible Red Delicious apple by altering ROS homeostasis and enhancing phenylpropanoid biosynthesis.

Plant physiology and biochemistry : PPB·2024

相关实验视频

Updated: Jun 4, 2025

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

8.5K

对比热力学和水力动力学.

Mahendra K Verma1, Rodion Stepanov2,3, Alexandre Delache4,5

  • 1Department of Physics, <a href="https://ror.org/05pjsgx75">Indian Institute of Technology Kanpur</a>, Kanpur 208016, India.

Physical review. E
|December 18, 2024
PubMed
概括

这项研究用液体流中的水力动力学量化了多尺度障碍. 水力动力学是不广泛的,防止其添加到热力学,以测量一个完整的疾病.

更多相关视频

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

9.0K
Differential Scanning Calorimetry &#8212; A Method for Assessing the Thermal Stability and Conformation of Protein Antigen
08:13

Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen

Published on: March 4, 2017

38.9K

相关实验视频

Last Updated: Jun 4, 2025

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

8.5K
Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

9.0K
Differential Scanning Calorimetry &#8212; A Method for Assessing the Thermal Stability and Conformation of Protein Antigen
08:13

Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen

Published on: March 4, 2017

38.9K

科学领域:

  • 物理 物理学 物理
  • 流体动力学 流体动力学
  • 统计力学 统计力学

背景情况:

  • 在复杂系统中量化混乱是至关重要的.
  • 现有的测量在不同的尺度上有局限性.

研究的目的:

  • 用水力动力学来量化多尺度障碍.
  • 分析各种系统中水力动力学的特性.

主要方法:

  • 水力动力学的应用到欧勒和水力动力学流.
  • 对依赖时间的金兹堡-兰道方程和伊辛旋转的水力动力学的分析.

主要成果:

  • 水力动力学有效量化了多层次障碍.
  • 水力动力学不是一个广泛的属性.
  • 水力动力学和热力学积不能直接相加.

结论:

  • 水力动力学为混乱提供了一个独特的视角.
  • 水力动力学的不广泛性对统计力学有影响.
  • 需要进一步的研究来整合不同的度.