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相关概念视频

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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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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Maxwell's Thermodynamic Relations01:23

Maxwell's Thermodynamic Relations

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Maxwell's thermodynamic relations are very useful in solving problems in thermodynamics. Each of Maxwell's relations relates a partial differential between quantities that can be hard to measure experimentally to a partial differential between quantities that can be easily measured. These relations are a set of equations derivable from the symmetry of the second derivatives and the thermodynamic potentials.
All thermodynamic potentials are exact differentials. Therefore, their second-order...
2.8K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

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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...
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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

18.9K
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.
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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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相关实验视频

Updated: Jul 5, 2025

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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在热力学极限中的随机分配模型.

Piotr Bialas1, Zdzislaw Burda2, Desmond A Johnston3

  • 1Institute of Applied Computer Science, Jagiellonian University, Ulica Lojasiewicza 11, 30-348 Kraków, Poland.

Physical review. E
|January 20, 2024
PubMed
概括
此摘要是机器生成的。

这项研究统一了随机分配模型 (urn模型) 在热力学极限中的统计性质. 它澄清了相位过渡和临界指数,揭示了热力学潜力之间的新关系.

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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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相关实验视频

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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科学领域:

  • 统计物理学的统计物理.
  • 复杂系统的建模复杂的系统建模.

背景情况:

  • 随机分配模型 (urn模型) 是理解随机分布的系统的一个基本工具.
  • 之前的研究已经探索了它的特性,但在关键现象和热力学极限方面留下了空白.

研究的目的:

  • 为随机分配模型的统计属性提供统一和独立的呈现.
  • 分析不同统计集的相位过渡和临界指数.
  • 阐明热力学潜能及其在关键点上的行为之间的关系.

主要方法:

  • 详细的逐步推导公式.详细的逐步推导公式.
  • 在各种统计集群中进行分析.
  • 在热力学极限的调查.

主要成果:

  • 在热力学极限中统一描述模型的统计性质.
  • 确定热力学潜能之间的关系.
  • 澄清在临界点上的奇点和热力学极限中的行为.

结论:

  • 这项研究提供了一个全面的了解随机分配模型的关键行为.
  • 它解决了以前的模两可,并为统计物理学和复杂系统的进一步研究提供了基础.