This conference focuses on the exploration of complex nonlinear systems through the lenses of dynamical systems theory and statistical mechanics. Complex systems, characterized by emergent phenomena, collective behavior, and sensitivity to initial conditions, appear across a wide array of scientific domains, from biological and ecological networks to fluid dynamics models. This interdisciplinary meeting brings together researchers from physics, mathematics, and computational science to address fundamental questions in the study of nonlinearity, chaos, and multi-scale interactions.
Key topics include:
- Statistical descriptions of far-from-equilibrium systems
- Stochastic processes and fluctuation theorems
- Chaos, bifurcations, and attractor dynamics in nonlinear systems
- Phase transitions
- Applications of machine learning to the analysis of nonlinear phenomena
- Multiscale modeling and simulations of complex networks
The conference aims to foster collaboration and discussion on recent advances in analytical techniques, computational frameworks, and experimental approaches, emphasizing the interplay between microscopic rules and macroscopic outcomes. Through keynote talks, participants will engage in cross-disciplinary exchanges that contribute to the advancement of our understanding of complex nonlinear dynamics.
Conference Venue: Spetses, Greece
Dates: 29th June to 4th of July
For inquiries and submissions, please visit our conference website or contact us at one of the following mails:
kandida@physics.uoc.gr, gts@physics.uoc.gr, makris@physics.uoc.gr
We look forward to your participation in this enlightening scientific gathering!
