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  1. 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.

  2. 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 …

  3. 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.

  4. Volume 27 | Entropy | MDPI

    Home Journals Entropy Volumes Volume 27 Submit to Entropy 2.0 Impact Factor 5.2 CiteScore 22 days Time to First Decision Journal Menu

  5. All Issues | Entropy | MDPI

    Browse all issues published in the journal.

  6. Instructions for Authors | Entropy | MDPI

    Manuscripts for Entropy should be submitted online at susy.mdpi.com. The submitting author, who is generally the corresponding author, is responsible for the manuscript during the submission and peer …

  7. 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; …

  8. The Entropy of Entropy: Are We Talking about the Same Thing? - MDPI

    Sep 1, 2023 · 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 …

  9. Special Issues | Entropy | 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 …

  10. Entropy and Complexity Tools Across Scales in Neuroscience: A Review …

    Jan 24, 2025 · Two key concepts, entropy and complexity, have been increasingly employed by neuroscientists as powerful tools for characterizing the interplay between structure and function in …