Codesign for Complex Systems: Accelerating the Scientific Method

Event Sponsor: 
Computing, Environment and Life Sciences Seminar
Start Date: 
Dec 6 2016 - 3:00pm
Building 240/Room 1406-1407
Argonne National Laboratory
Frank Alexander
Speaker(s) Title: 
Acting Division Leader – Computer, Computational and Statistical Sciences Division Los Alamos National Laboratory
Rick Stevens

The solution of a number of challenging problems in materials science, biology and other complex systems will likely require the leveraging of optimal design of experiments, uncertainty quantification and a marriage of machine learning and domain knowledge.  I will discuss some recent and initial forays into this area.  In particular, I will describe some aspects the new DOE / National Cancer Institute initiative, Joint Design Of Advanced Computing Solutions For Cancer. I will also discuss some recent work on machine learning for coarse-grained theories in condensed matter as well as a high-level description of some computational methods that begin to make headway toward solving these problems. Finally, I will outline my thoughts on the future of mathematics and computer and computational science within the DOE complex.