- Entropy | An Open Access Journal from MDPI
Entropy Entropy is an international and interdisciplinary peer-reviewed open access journal of entropy and information studies, published monthly online by MDPI
- 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
- Aims Scope | Entropy | MDPI
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes
- 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
- Entropy | Editorial Board - MDPI
Interests: theoretical and mathematical physics—fundamental aspects of quantum mechanics, quantum theories for information, statistical thermodynamics of complex systems and science of reliability; entropy and complex system; quantum physics
- A Brief Review of Generalized Entropies - MDPI
Entropy appears in many contexts (thermodynamics, statistical mechanics, information theory, measure-preserving dynamical systems, topological dynamics, etc ) as a measure of different properties (energy that cannot produce work, disorder, uncertainty, randomness, complexity, etc )
- Entropy | Special Issues - MDPI
Entropy publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
- On Entropy, Information, and Conservation of Information - MDPI
The thermodynamic property entropy is closely associated with the physical quantities of thermal energy and temperature, while the entropy used in the communications field is a mathematical abstraction based on probabilities of messages
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