Asymptotic methods for dissipative particle systems have been emerging over the last decade out of a number of streams of research that involve kinetic and complex particle systems, modeling the evolution of probability distributions of various kinds. In many cases where classical macroscopic models fail, interesting non-classical states have been found. Examples of such systems have been recently reported in rapid granular flows, coalescence-breakage models for jet-bubble flows, coagulation-fragmentation processes, cooling effects in gas mixtures involving chemical reactions, soft condensed matter, social-science-related applications such as the modeling of swarms, opinion formation, wealth distribution, economic models related to decision making, and pedestrian and evacuation dynamics.
It is the goal of this workshop to bring together researchers from diverse areas, including statistical mechanics, particle systems, probability theory and applications, to discuss developing areas of non-conservative dynamics and the emergence of non-equilibrium statistical states, and to explore potential applications in the natural and social sciences.
(Rutgers University, Department of Mathematics)
Irene Gamba, Chair (University of Texas at Austin)
Peter Markowich (University of Cambridge, Institute of Mathematics)
Anne Nouri (Université d'Aix-Marseille I (Université de Provence))
Robert Pego (Carnegie-Mellon University)
Mario Pulvirenti (Università di Roma “La Sapienza”)
Cederic Villani (École Normale Supérieure de Lyon)