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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

19.0K
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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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.9K
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...
2.9K
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...
5.4K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

24.0K
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

2.6K
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
Entropy within the Cell01:22

Entropy within the Cell

10.8K
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: Jul 21, 2025

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides
09:41

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides

Published on: May 29, 2018

9.6K

热统计学的几个基本元素

Zhiyi Zhang1

  • 1Department of Mathematics and Statistics, UNC Charlotte, Charlotte, NC 28223, USA.

Entropy (Basel, Switzerland)
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了统计学,超越了传统的随机变量,分析了字母表上的一般随机元素. 它为基于的统计方法建立了理论框架,增强了数据科学推断.

关键词:
热统计数据 热统计数据产生势的势生成函数.它们是输入的.值估计的值估计.

更多相关视频

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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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

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相关实验视频

Last Updated: Jul 21, 2025

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides
09:41

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides

Published on: May 29, 2018

9.6K
Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.6K

科学领域:

  • 统计 统计 统计 统计
  • 数据科学数据科学数据科学
  • 信息理论 信息理论

背景情况:

  • 现代数据科学正在将统计推理从传统的随机变量转移到基于字母表的更一般的随机元素.
  • 现有的统计理论对于随机变量来说已经发展得很好,但对于对字母表的推理,特别是估计来说,系统性较差.
  • 随机元素的邻近和时刻等熟悉的概念的缺失需要基于的统计学新的理论基础.

研究的目的:

  • 介绍和讨论统计的基本元素.
  • 开发一个严格的理论框架,用于基于一般随机元素和的统计推理.
  • 将现有的统计定理扩展到域.

主要方法:

  • 介绍一般的,样空间,分布和统计.
  • 一个产生势的函数的定义.
  • 建立了格利文科 - 坎特利收定理的缩版本.

主要成果:

  • 定义和讨论了统计学的几个基本对象.
  • 演示了热时刻生成函数从热角度独特地表征分布.
  • 建立了Glivenko-Cantelli的热定理,提供了一个趋同保证.

结论:

  • 该研究为热统计学提供了健全的理论框架奠定了基础.
  • 开发的学工具和定理使得涉及一般随机元素和的更严格的统计练习成为可能.
  • 这项工作弥合了数据科学中传统统计和信息理论方法之间的差距.