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相关概念视频

Path Between Thermodynamics States01:21

Path Between Thermodynamics States

3.1K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
3.1K
Thermodynamics: Activity Coefficient01:24

Thermodynamics: Activity Coefficient

1.3K
Activity is the measure of the effective concentration of the species in solution. It can be expressed as the product of the molar concentration of the species and its activity coefficient. The activity coefficient is a dimensionless quantity and depends on the total ionic strength of the solution.
The activity coefficient is a measure of the deviation from ideal behavior. When the ionic strength of the solution is minimal, the activity coefficient of an ionic species is close to unity, making...
1.3K
Thermodynamic Systems01:06

Thermodynamic Systems

5.0K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The...
5.0K
Thermodynamic Potentials01:26

Thermodynamic Potentials

779
Thermodynamic potentials are state functions that are extremely useful in analyzing a thermodynamic system. They have dimensions of energy. The four important thermodynamic potentials are internal energy, enthalpy, Helmholtz free energy, and Gibbs free energy. These thermodynamic potentials can be expressed using two of the following variables: pressure, volume, temperature, and entropy. These two variables are expressed as the rate of change of the thermodynamic potential with respect to other...
779
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

23.1K
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...
23.1K
Maxwell's Thermodynamic Relations01:23

Maxwell's Thermodynamic Relations

2.6K
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...
2.6K

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相关实验视频

Updated: Jun 7, 2025

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
10:29

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

Published on: June 1, 2016

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对于稳定状态热力学不确定性关系的网络分析.

Yasuhiro Utsumi1

  • 1Department of Electrical and Electronic Engineering, Faculty of Engineering, <a href="https://ror.org/01529vy56">Mie University</a>, Tsu, 514-8507, Mie, Japan.

Physical review. E
|November 20, 2024
PubMed
概括

这项研究使用网络分析和图形理论在复杂系统中获得了稳定状态电流噪声的新型下限. 这些发现为系统波动和计算不可逆转性提供了新的见解.

科学领域:

  • 统计力学 统计力学
  • 网络理论 网络理论
  • 非平衡的物理 物理学

背景情况:

  • 主方程描述了系统动态.
  • 网络分析和图形理论是研究复杂系统的强大工具.
  • 在非平衡系统中,了解静态电流噪声至关重要.

研究的目的:

  • 用网络分析估计稳定电流噪声的下限.
  • 为了推导出适用于驱动到非平衡稳定状态的系统的噪声下限.
  • 运用这个限制来分析计算时间波动和逻辑不可逆性.

主要方法:

  • 通过总方程描述的系统的网络分析.
  • 使用2.5级大偏差函数.
  • 采用图形理论和网状电流用于噪声受限导出.

主要成果:

  • 为稳定状态电流噪声得出了一个新的下限.
  • 绑定的账户对所有州的逗留时间波动.
  • 应用于布朗的计算与重置,边界捕获逻辑不可逆性,与基于的边界不同.

结论:

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

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Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident
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相关实验视频

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Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

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Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident
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Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident

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  • 衍生噪声下限为系统波动提供了一个新的指标.
  • 这种方法提供了一种方法来量化计算过程中的逻辑不可逆性.
  • 这项研究有助于我们更好地了解非平衡系统中的噪声.