While “energy” is a familiar term in households, “entropy,” which refers to degraded energy, remains enigmatic. This gap in understanding has significant implications for developing effective sustainability practices.
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 (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes.
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
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 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.
Two key concepts, entropy and complexity, have been increasingly employed by neuroscientists as powerful tools for characterizing the interplay between structure and function in the brain across scales.
From these phenomenological observations, causal and teleological discussions arise that address questions such as whether these systems will develop toward a state of minimum or maximum entropy? And do we talk about entropy as distribution or production or maybe even both?
All articles published in Entropy (ISSN 1099-4300) are published in full open access. An article processing charge (APC) of CHF 2600 (Swiss francs) applies to papers accepted after peer review.
In physics, entropy is a measure of the disorder of a system, and without being very rigorous it can be said that the highest level of entropy determines the equilibrium of the system, i.e., it follows a situation of maximum entropy.
