
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 …
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.
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.
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 …
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 …
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 …
The Entropy Universe - MDPI
Feb 11, 2021 · The universe of entropies is growing each day, either due to the introducing new variants either due to novel applications. Knowing each entropy’s strengths and of limitations is essential to …
Entropy | 2025 - Browse Issues - MDPI
Entropy, an international, peer-reviewed Open Access journal.
Article Processing Charge | Entropy | MDPI
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.
Applications of Entropy in Data Analysis and Machine Learning: A
Dec 23, 2024 · Precisely, this paper aims to provide an up-to-date overview of the applications of entropy in data analysis and machine learning, where entropy stands here not only for the traditional …