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相关概念视频

Entropy01:18

Entropy

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

Entropy and the Second Law of Thermodynamics

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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...
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Second Law of Thermodynamics02:49

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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 models, the...
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Second Law of Thermodynamics00:53

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The Second Law of Thermodynamics states that entropy, or the amount of disorder in a system, increases each time energy is transferred or transformed. Each energy transfer results in a certain amount of energy that is lost—usually in the form of heat—that increases the disorder of the surroundings. This can also be demonstrated in a classic food web. Herbivores harvest chemical energy from plants and release heat and carbon dioxide into the environment. Carnivores harvest the...
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The Second Law of Thermodynamics01:14

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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...
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Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen
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逆热力学不确定性关系和产生的逆热力学不确定性关系.

Van Tuan Vo1, Andreas Dechant1, Keiji Saito1

  • 1Kyoto University, Department of Physics, Kyoto 606-8502, Japan.

Physical review letters
|December 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了逆热力学不确定性关系 (iTUR),以设定不平衡电流波动的上限. iTUR 禁止在具有有限产量和光谱差距的系统中进行永久超扩散.

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科学领域:

  • 非平衡物理学的物理学.
  • 统计力学就是统计力学.
  • 复杂的系统复杂的系统.

背景情况:

  • 非平衡电流波动是物理学的核心.
  • 热力学不确定性关系 (TUR) 使用产量和平均电流来限制波动.
  • 现有的边界主要集中在波动的下限上.

研究的目的:

  • 导出和分析电流波动的上限,称为逆热力学不确定性关系 (iTUR).
  • 建立适用于连续和离散系统的通用iTUR表达式.
  • 调查iTUR对永久超扩散和巨型扩散等现象的影响.

主要方法:

  • 为连续变量系统 (过度缓和的朗格温方程) 推导通用的iTUR表达式.
  • 为离散变量系统 (马尔科夫跳跃过程) 推导通用iTUR表达式.
  • 分析当前波动可能分歧的条件,将它们与光谱差距的缩小和的产生联系起来.

主要成果:

  • 得到一个普遍的逆热力学不确定性关系 (iTUR).
  • 对于具有有限产量和光谱差距的系统,iTUR 建立了一个反对永久超扩散的不去定理.
  • 当前波动的分歧需要一个消失的光谱差距或不同的产量.

结论:

  • iTUR为非平衡系统的波动提供了关键的上限.
  • 这些发现突出了在确定波动行为的过程中,光谱间隙和产生的相互作用.
  • iTUR框架提供了对巨型扩散和异常传输的限制等现象的见解.