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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 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
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

22.9K
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...
22.9K
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
Entropy within the Cell01:22

Entropy within the Cell

10.3K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
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相关实验视频

Updated: May 29, 2025

Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
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Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving

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对于周期驱动系统的产生的推理.

Pedro E Harunari1, Carlos E Fiore2, Andre C Barato3

  • 1University of Luxembourg, Complex Systems and Statistical Mechanics, Department of Physics and Materials Science, L-1511 Luxembourg City, Luxembourg.

Physical review. E
|February 7, 2025
PubMed
概括

估计周期驱动系统中的产量至关重要. 本研究开发了一种使用过渡统计和等待时间的新方法,独立于初始条件,以准确估计产量.

科学领域:

  • 随机热力学是随机的热力学.
  • 非平衡的系统是不平衡的.

背景情况:

  • 估计产量对于理解非平衡系统至关重要.
  • 现有的方法往往侧重于具有固定力的稳定状态.
  • 周期驱动系统对估计提出了独特的挑战.

研究的目的:

  • 开发一种方法来估计周期驱动系统中的产量.
  • 提供独立于初始条件和协议跟踪的估计.
  • 用分子模型分析方法的性能.

主要方法:

  • 使用可见转换和等待时间的统计数据.
  • 将一种方法从非平衡稳定状态调整为依赖时间的系统.
  • 分析一个具有不同能量和障碍的分子模型.

主要成果:

  • 一个依赖于跨过渡时间但不是第一个过渡时间的产量估计.
  • 与生成率及其估计相关的不平等,包括一个额外的术语.
  • 净运动 (概率电流) 对于相关的产量估计是必要的.

结论:

  • 拟议的方法提供了一个实用的方法,用于在复杂的,时间依赖的系统中估计产量.

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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  • 这些发现强调了系统动态和概率电流在热力学评估中的重要性.
  • 这项工作推进了非平衡热力学中对的实验和理论理解.