Kinetic equations bridge the microscopic molecular dynamics and the macroscopic hydrodynamic equations. As such they offer richer physics than macroscopic equations, yet are much more computationally affordable than molecular dynamic simulations.
In addition to traditional applications in rarefied gas, neutron transport and astrophysics, in recent years one has seen emerging applications of kinetic modeling in plasma physics, complex fluids, social and biological sciences, etc.
We will invite leading figures as well as young researchers to the conference in order to present their recent research results, and foster further collaborations. We will have a mixture of theoreticians with computational scientists from applied areas in order to expand the scope of the topics and produce opportunities for the expansion of the field. We will also organize a panel discussion on future directions of research in kinetic theory, and in particular, its interplay with new areas of data sciences, machine learning and deep neural networks.