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

Phase Transitions02:31

Phase Transitions

20.4K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
20.4K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.7K
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.
2.7K
States of Matter and Phase Changes00:59

States of Matter and Phase Changes

1.3K
The internal energy of a substance—the total kinetic energy of all its molecules and the potential energy of their associated forces—depends on the strength of the intermolecular forces in the condensed phases and the pressure exerted on the substance. The internal energy of a substance is the highest in the gaseous state, the lowest in the solid state, and intermediate in the liquid state. Phase transitions are caused by changes in physical conditions, such as temperature and...
1.3K
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

19.6K
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.
19.6K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

3.2K
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...
3.2K
Entropy02:39

Entropy

31.4K
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...
31.4K

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 journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026

相关实验视频

Updated: Sep 18, 2025

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

9.1K

最大化,时间出现和相位过渡.

Jonathan Smith1

  • 1Department of Mathematics, Iowa State University, 411 Morrill Rd., Ames, IA 50011, USA.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括

使用Gibbs Canonical Ensemble实现透最大化,为有限系统提供了新的见解. 这种方法将温度重新解释为生态年龄,有效地建模生物竞争和相变.

科学领域:

  • 统计力学 统计力学
  • 理论物理 理论物理
  • 数学生物学 数学生物学

背景情况:

  • 吉布斯正规集团是统计力学中描述热平衡系统的基本工具.
  • 将整体应用于有限的,非平衡系统,特别是在生物学中,带来了重大的理论挑战.
  • 热力学变量的传统解释可能需要在新的背景下重新评估.

研究的目的:

  • 探索使用最大化的近期进展,以将吉布斯正规合奏应用于有限系统.
  • 研究这种方法的物理和生物影响,特别是在游戏理论和生态模型中.
  • 在这个框架内重新评估拉格朗奇乘数的作用和解释.

主要方法:

  • 对Gibbs Canonical Ensemble的最大化技术发展的调查.
  • 用捕食者-猎物角色的游戏理论方法进行对称分析.
  • 使用自然物理单位 (普朗克常数=1) 并专注于拉格朗日乘法.

主要成果:

  • 能量被证明具有逆时间的维度,导致拉格朗日乘数与时间单位,代表"时间的箭头".
  • 负温度奇点在量子光学模型中被消除,具有有限的能量水平.
  • 佳能集团成功地模拟了物种竞争,拉格朗日乘数量化了"生态年龄"并描述了阶段过渡.
关键词:
合唱团的合唱团是合唱团的合唱团.承载能力 承载能力最大化的最大化.阴性温度是温度的负值.顺序参数 顺序参数阶段过渡 阶段过渡现象学速率方程 现象学速率方程捕食者 猎物 捕食者 猎物热力学极限是热力学极限.两个人的游戏游戏.

更多相关视频

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
10:08

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

Published on: October 24, 2017

9.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

670

相关实验视频

Last Updated: Sep 18, 2025

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

9.1K
Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
10:08

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

Published on: October 24, 2017

9.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

670

结论:

  • 最大化提供了一个强大的框架,用于将吉布斯定律合集应用于有限的生物和物理系统.
  • 将拉格朗日乘数重新解释为"生态年龄"的指标,为生物学动态提供了新的见解.
  • 这种方法成功地模拟了诸如有限系统中的相变等复杂现象,而不需要热力学极限.