SS9 AIMS 2016 Meeting, Orlando, Florida, USA

Title:  Stochastic Modeling in Fluid Dynamics: Theory and Approximation
Organizer(s):
Name: Affiliation: Country: Email Address:
Chuntian Wang
Dept. of Mathematics, University of California, Los Angeles
USA
cwang@math.ucla.edu
Honghu Liu
Department of Mathematics, Virginia Tech
USA
hhliu@vt.edu
Roger Temam
Institute for Scientific Computing and Applied Mathematics, Indiana University Bloomington
USA
temam@indiana.edu
Introduction:
Stochastic models of fluid dynamics play a significant role in science, with numerous applications in e.g. climate science, geophysics and engineering. Moreover, sitting at the interface between probability theory, mathematical analysis and theory of parabolic and hyperbolic partial differential equations, these problems provide interesting and challenging mathematical complications. Motivated by the need from both the outside and inside of the mathematical community, our session will focus on the recent advances in stochastic fluid dynamics modeling, especially those derived from mathematical physics like plasma physics, fluid dynamics and thermomechanics. We aim to bring together researchers to discuss such models from both the theoretical and applied points of view, with topics including the regularity behavior of solutions, the stochastic dynamics and the stochastic numerical implementations.