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  • 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 The International Society for the Study of Information (IS4SI) and Spanish Society of Biomedical Engineering (SEIB) are affiliated with Entropy and their members receive a discount on the
  • 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: From Thermodynamics to Information Processing - MDPI
    Entropy is a concept that emerged in the 19th century It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution
  • 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
  • Toward Improved Understanding of the Physical Meaning of Entropy in . . .
    We discuss the implication of the proposed modification on statements of the Second Law, interpretation of entropy in statistical thermodynamics, and the Third Law
  • The Entropy of Entropy: Are We Talking about the Same Thing? - MDPI
    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?
  • Entropy | 2023 - Browse Issues - MDPI
    Entropy, an international, peer-reviewed Open Access journal
  • Entropy | Instructions for Authors - MDPI
    Entropy requires that authors publish all experimental controls and make full datasets available where possible (see the guidelines on Supplementary Materials and references to unpublished data)




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