Welcome from the Chairs

We cordially invite you to partake in Entropy 2026: Exploring Complexity and Information in Science (Entropy 2026), which will be held in Barcelona, Spain, from 1 to 3 July 2026.

Entropy is one of science's most frequently used terms, owing to its foundational relevance in two major disciplines: physics and information theory. Originally rooted in thermodynamics, the concept of entropy has, since Shannon’s pioneering work, become central to the understanding of information processing and communication.

This conference is organised by MDPI's open-access journal Entropy (ISSN 1099-4300; IF: 2.0) and presents a unique opportunity to unite researchers from both fields, fostering collaboration and cross-disciplinary innovation.

The main topics and sessions of the conference include the following:
• Complex Systems and Network Science
• Information Theory, Data Science and Artificial Intelligence
• Quantum Information and Quantum Computing
• Thermodynamics and Energy Systems
• Non-Equilibrium Systems and Entropy Production
• Statistical Physics and Stochastic Processes
• Soft and Living Matter
• Applications of Entropy in Science and Engineering

We particularly welcome interdisciplinary contributions from both theoretical and applied perspectives. Submissions may also address conceptual and methodological advances, as well as innovative applications of entropy and information theory across a broad range of domains.

We very much look forward to your participation.
 

Kind regards,
Prof. Dr. Miguel Rubi—University of Barcelona, Spain
Prof. Dr. Kevin H. Knuth—University at Albany, USA
 

More News about MDPI Conferences https://sciforum.net/event/Entropy2026