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  1. MDPI - Publisher of Open Access Journals

    MDPI is a publisher of peer-reviewed, open access journals since its establishment in 1996.

  2. 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.

  3. Entropy - MDPI

    Jan 28, 2022 · The concept of entropy constitutes, together with energy, a cornerstone of contemporary physics and related areas.

  4. Journal History | Entropy | MDPI

    Entropy, an international, peer-reviewed, Open Access journal.

  5. Entropy: The Markov Ordering Approach - MDPI

    May 7, 2010 · The entropy function may be the classical BGS entropy or any function from the rich family of non-classical entropies. This rich choice causes a new problem: which entropy is better for …

  6. Entropy and Time - MDPI

    Apr 10, 2020 · The idea that entropy is associated with the “arrow of time” has its roots in Clausius’s statement on the Second Law: “Entropy of the Universe always increases.” However, the explicit …

  7. Thermodynamics of the System of Distinguishable Particles - MDPI

    Jun 29, 2009 · In this paper, starting from the Boltzmann entropy, we present the thermodynamics of the system of distinguishable particles. A straightforward way to get the corrected Boltzmann counting is …

  8. The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio ...

    Feb 3, 2025 · In this paper, we replace traditional variance–covariance methods of portfolio optimisation with relative Tsallis entropy and mutual information measures. Its goal is to enhance risk …

  9. Entropy and the Brain: An Overview - MDPI

    Aug 21, 2020 · Abstract Entropy is a powerful tool for quantification of the brain function and its information processing capacity. This is evident in its broad domain of applications that range from …

  10. The Entropy Universe - MDPI

    Feb 11, 2021 · Based on Shannon entropy, many researchers have been devoted to enhancing the performance of Shannon entropy for more accurate complexity estimation, such as differential …