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相关概念视频

The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

5.4K
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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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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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

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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.
19.0K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.8K
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...
2.8K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

23.9K
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...
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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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.
2.6K

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Updated: Jul 12, 2025

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

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和动力学之间的普遍关系.

Benjamin Sorkin1, Haim Diamant1, Gil Ariel2

  • 1School of Chemistry and Center for Physics and Chemistry of Living Systems, Tel Aviv University, 69978 Tel Aviv, Israel.

Physical review letters
|October 20, 2023
PubMed
概括
此摘要是机器生成的。

这项研究得出了一个普遍的不等式,将与粒子动力学联系起来,即使远离平衡也适用. 这为利用或反之提供了限制或估计扩散系数的新方法.

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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:

  • 热力学是一种热力学.
  • 统计力学 统计力学
  • 非平衡的物理 物理学

背景情况:

  • 关联热力学和动力学属性是一个长期存在的挑战.
  • 了解远离热力学平衡的系统至关重要.

研究的目的:

  • 推导出和动态性质之间的严格,普遍的不平等.
  • 在稳定状态下建立和扩散系数之间的联系.

主要方法:

  • 一个一般不平等的第一原则推导.
  • 适用于扩散动力学,包括正常和异常扩散.
  • 对任意远离热力学平衡的稳定状态的分析.

主要成果:

  • 一个普遍的不平等关系到和粒子配置的动态传播器.
  • 对扩散系统来说,和扩散系数之间的特定关系.
  • 在界限扩散系数从和反之方面证明了实用性.

结论:

  • 导出关系为分析远离平衡的系统提供了一个强大的工具.
  • 提供了一种方法,用动力数据来估计热力学特性,反之亦然.
  • 突出了在各种物理系统中的广泛适用性.