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KI-Net Conference Announcement
Mixing and Mixtures in Geo- and Biophysical Flows: A Focus on Mathematical Theory and Numerical MethodsMay 23 - 27, 2016Ctr for Scientific Computation & Math. Modeling, UMd |
ABSTRACT
New environmental issues call for a better understanding of numerous complex and highly heterogeneous behaviors in Geo- and Biophysical Flows, such as mixtures for granular media and for breaking waves, mixing in turbulence or other high Reynolds number regimes and under internal gravity waves.
These challenges have inspired mathematicians to formalize new questions in Fluid Mechanics. The solution of these questions requires new mathematical tools, either theoretical, or numerical while maintaining close links with the theory.
This workshop focuses on several critical and recent advances furthering our understanding of interactions between small and macroscopic scales (through mixing in particular) and of several co-existing velocities in a fluid (mixtures, compressible flows, etc.).
The conference is supported by the NSF through KI-Net and by the Department of Mathematics at UMD.
GOALSThis workshop has a dual goal of targeting researchers at an early stage of their career through mini-courses and bringing together a group of experts in Applied Mathematics and Mathematical Physics. The two mini-courses include:
Activated fluids: continuum description, analysis and computational results
Mixing and dissipation in fluid The focus of discussion is on current developments in analysis and numerical simulation of equations that govern the dynamics of complex fluid systems.
REGISTRATION CLOSEDORGANIZERS |
CONFIRMED PARTICIPANTSFUNDINGA limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows. INFORMATION FOR PARTICIPANTSCtr for Scientific Computation & Math. Modeling, UMd (CSCAMM,UMd) Email: pjabin@cscamm.umd.edu CONFERENCE POSTER
ACKNOWLEDGMENTFunding provided by the NSF through the KI-net Grant. |
