Conférences  >  Physique  >  Systèmes complexes et chaos

Physical Society of Uzbekistan

This international conference is a series of regular meetings which launched in 2013 as “Dynamics Days Central Asia” in Samarkand (Uzbekistan). Last conference called 7th Dynamics Days Central Asia and Caucasus held in September 27-30, 2022 in Baku (Azerbaijan). The conference will be devoted to both, new developments in the basic science of complex and nonlinear systems and their applications in physics, biology, environmental and earth sciences, economy, finance, epidemiology and sociakl sciences, as well as new trends in its applications to specific areas of natural and environmental sciences.

Conference Secretary;     Email.: ola_july@mail.ru

Chaos and nonlinear dynamics; Nonlinear evolution equations, solitons and BEC; Complex networks and network dynamics; Pattern formation, fractals and percolation; Epidemic modeling and forecast; Self-organization; Self-organized criticality in complex systems; Physics informed neural networks; Time series, extreme events and risks; Modeling of crises, conflicts and critical events; Econophysics; Big data and data science; Spatiotemporal patterns, hydrodynamics, and turbulence; Earthquake dynamics, modeling and forecast; Nonequilibrium Quantum Dynamics; Quantum graphs: Basic theory and applications; PT-symmetric physics: From theory to experimental realization.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Fluids are ubiquitous in the nature, but equations of fluid mechanics are among the most difficult PDEs to analyze. The question of global regularity v.s. finite time blow-up remains open for many fundamental fluid equations, and there are also many other interesting open questions on other aspects of properties. Recently, the study of fluid equations has witnessed multiple breakthrough results, such as non-existence of type-one singularity, rigorous proofs for small scale formation and finite-time blow-up for various equations, non-uniqueness of weak solutions to the Euler and Navier-Stokes equation via convex integration, as well as the non-uniqueness of the law of the 3D stochastic Navier-Stokes equations. With these exciting developments in the last decade, this workshop is a timely event to capitalize on this momentum. In this workshop, we aim to bring together leading experts and junior researchers covering complementary areas in fluid equations to share new ideas, discuss emerging problems, and identify promising research directions for the future. When inviting participants to the workshop, preferences will be given to junior researchers and researchers from underrepresented groups.

A. Carollo (Università degli Studi di Palermo), A. Lanzara (University of California, Berkeley), G. M. Palma (Università degli Studi di Palermo), B. Spagnolo (Università degli Studi di Palermo)

A common phenomenon in the dynamics of out of equilibrium systems is the metastability, and the problem of the lifetime of metastable states involves fundamental aspects of nonequilibrium statistical mechanics. In spite of such ubiquity, the microscopic understanding of metastability and related out of equilibrium dynamics still raise fundamental questions. Stochastic many-body systems, classical and quantum, often display a complex and slow relaxation towards a stationary state. This nonlinear relaxation process in multistable systems is crucial for understanding the transient dynamics in complex physical and biological systems. This Workshop will bring together leading experts and research groups with significant contribution to the contemporary state-of-the-art of nonequilibrium classical and quantum systems, working towards the development of new quantum technologies. Moreover, aim of this meeting is to bring together scientists interested to the challenging problems connected with the dynamics of nonequilibrium multistable systems from both theoretical and experimental point of view, within an interdisciplinary context. The conference will be a discussion forum to promote new ideas in this fertile field of research, and in particular new trends such as out-of-equilibrium systems, high-Tc superconductivity, quantum phase transitions, topological phase transitions, quantum metrology, machine learning and quantum algorithms for complex systems.

Event Secretariat;     Email.: nes2023.erice@gmail.com

Metastability, Non-equilibrium statistical mechanics, Transient dynamics in complex physical and biological systems, Theoretical and experimental physics, Classical and quantum physics, Out-of-equilibrium systems, High-Tc superconductivity, Quantum phase transitions, Topological phase transitions, Quantum metrology, Machine learning and quantum algorithms for complex systems

Physique de la matière condensée et des matériaux,    Thermodynamique, dynamique des fluides et physique statistique

Max Planck Institute for the Physics of Complex Systems

Complex Systems Society (CSS)

As people learn to live with the SARS-CoV-2 virus, the way forward is increasingly being seen as a new normal. In this context that we have the pleasure of welcoming you to the next edition of the Conference on Complex Systems CCS2023 in Salvador da Bahia, Brazil. The CCS is the largest and most important annual meeting of the international complex systems community. It comes under the auspices of the Complex Systems Society and is organized by SENAI CIMATEC.

Centre de recherches mathématiques (CRM)

While network models have been studied as independent systems, efforts in neuroscience in recent years has been put towards inferring networks of the brain from imaging data. Using probabilistic methods and inverse models, recurrent networks across populations and their change with disease have been characterized based on input from electrophysiological and functional imaging.

This sub-theme will cover the notions of network dynamics, discuss conceptual frameworks to model brain network topology and provide the latest progress in neural network inference from imaging data and associated methodological approaches at modeling networks of the brain.

Max Planck Institute for the Physics of Complex Systems (MPI-PKS)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Statistique, Théorie des jeux,    Simulation

Max Planck Institute for the Physics of Complex Systems (MPI-PKS)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Max Planck Institute for the Physics of Complex Systems (MPI-PKS)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Calcul infinitésimal, équations différentielles et intégrales,    Optimisation, recherche opérationnelle

Max Planck Institute for the Physics of Complex Systems (MPI-PKS)

Max Planck Institute for the Physics of Complex Systems (MPI-PKS)