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- Entropy - MDPI
The concept of entropy constitutes, together with energy, a cornerstone of contemporary physics and related areas It was originally introduced by Clausius in 1865 along abstract lines focusing on thermodynamical irreversibility of macroscopic physical processes
- Entropy | An Open Access Journal from MDPI
Entropy is an international and interdisciplinary peer-reviewed open access journal of entropy and information studies, published monthly online by MDPI
- Entropy: From Thermodynamics to Information Processing - MDPI
Entropy is most commonly defined as “disorder”, although it is not a good analogy since “order” is a subjective human concept, and “disorder” cannot always be obtained from entropy
- Toward Improved Understanding of the Physical Meaning of Entropy in . . .
The overall direction of entropy increase indicates the direction of naturally occurring heat transfer processes in an isolated system that consists of internally interacting (non-isolated) sub systems
- The meanings of entropy - MDPI
Entropy measures freedom, and this allows a coherent interpretation of entropy formulas and of experimental facts To associate entropy and disorder implies defining order as absence of freedom Disorder or agitation is shown to be more appropriately linked with temperature
- A Brief Review of Generalized Entropies - MDPI
Another very popular generalized entropy was introduced by Tsallis as a generalization of the Boltzmann–Gibbs entropy (Section 3 1) to describe the properties of physical systems with long range forces and complex dynamics in equilibrium
- Entropy | Aims Scope - MDPI
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details
- The Entropy of Entropy: Are We Talking about the Same Thing? - MDPI
When using entropy as a concept, are we better off describing states only (using path-independent state variables from thermodynamics) or is a process-based approach better, i e , do we need to use changes in the state variables (usually path-dependent)?
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