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Related Concept Videos

Entropy02:39

Entropy

33.7K
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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Entropy01:18

Entropy

3.3K
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...
3.3K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

4.0K
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...
4.0K
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

6.3K
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...
6.3K
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

21.0K
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.
21.0K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

26.0K
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 models, the...
26.0K

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Symbolic Entropy Analysis and Its Applications.

Raúl Alcaraz1

  • 1Research Group in Electronic, Biomedical and Telecommunication Engineering, University of Castilla-La Mancha, 13071 Cuenca, Spain.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary
This summary is machine-generated.

This editorial outlines the focus of a special issue, introducing key themes from the collected research papers. It sets the stage for understanding the scope of current scientific discourse.

Keywords:
Lempel–Ziv complexityPermutation entropyTransfer entropysymbolic data analysissymbolic entropysymbolization approaches

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Area of Science:

  • This special issue focuses on interdisciplinary scientific research, highlighting advancements across various fields.
  • It encompasses a broad range of scientific disciplines, fostering a holistic understanding of complex research areas.

Background:

  • The editorial introduces the thematic scope of the special issue.
  • It provides a contextual overview of the research landscape addressed by the contributed papers.

Discussion:

  • The editorial synthesizes the overarching themes presented in the special issue.
  • It highlights the interconnections and common threads among the diverse research papers.

Key Insights:

  • This editorial serves as a guide to the special issue's content.
  • It offers a thematic introduction to the collection of scientific papers.

Outlook:

  • The special issue aims to stimulate further research and collaboration within the scientific community.
  • It provides a forward-looking perspective on the discussed research areas.