
Hamiltonian systems are central to both classical and modern physics. They describe a broad spectrum of dynamical phenomena, ranging from celestial mechanics and plasma confinement to molecular interactions. This workshop, Advances in Hamiltonian Transport and Chaotic Dynamics, will explore recent progress in understanding the complex mechanisms driving phase space transport and the emergence of chaos in conservative and dissipative systems. Special emphasis will be placed on the role of invariant structures, such as tori, cantori, and resonant webs; the interplay between order and chaos; and the development and application of modern chaotic indicators. Key topics include Arnold diffusion, resonant dynamics, chaotic scattering, chaos indicators, and the statistical features of transport in both low- and high-dimensional Hamiltonian systems. The workshop aims to stimulate interdisciplinary dialogue by bringing together experts from mathematics, physics, and applied sciences to share insights, present theoretical advancements, and discuss cutting-edge computational techniques. Through interactive sessions and collaborative discussion, the event will foster new connections and inspire future research in this dynamic and foundational area.
Date: 3rd July 2025
Time: 02:00 pm CEST | 08:00 pm CST (Asia)
Webinar ID: 851 4517 9752
Webinar Secretariat: journal.webinar@mdpi.com


The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.
This webinar brought together recent insights into the complex behaviour of Hamiltonian systems, with a focus on chaotic dynamics, invariant structures, and phase space transport. Prof. Edson Denis Leonel examined the transition from integrable to non-integrable regimes in Hamiltonian systems, highlighting a universal chaotic diffusion process governed by scaling invariance. Through numerical simulations and analytical solutions of the diffusion equation, the work identified critical exponents and uncovered features such as symmetry breaking, the emergence of a clear order parameter, and the presence of topological defects. Dr Joelson Dayvison Veloso Hermes presented a novel technique for detecting invariant curves in discrete Hamiltonian systems using Slater’s Theorem. His method, grounded in recurrence time analysis, was applied to well-known models such as the Standard Map and Fermi–Ulam model, effectively identifying the transition from local to global chaos and pinpointing the critical parameters for curve breakdown. Dr Matheus Rolim Sales introduced recurrence time entropy as a diagnostic tool to distinguish chaotic dynamics and sticky regions in phase space. His results revealed that the RTE distribution becomes multi-modal in the presence of hierarchical island structures, offering insights into the complex organisation of the chaotic sea.