Stochastic dynamics of random growth and exclusion processes: theory and experiment
Many complex systems of interacting particles behave on a phenomenological level in some random fashion. Examples come from areas as diverse as the growth of surfaces or the growth of biological systems, reaction-diffusion processes or the study of traffic flow. In recent years there was a huge demand for new analytic methods able to predict time dynamics of such systems.
I will describe some basic theoretical models in this field and explain why they show such a good agreement with experiment.