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. 

List of approved abstract 


