Colloquium

In collaboration with academic, industrial, and other government laboratory partners, Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing (CASC) conducts world-class scientific research and development on problems in computer science, computational physics, applied mathematics, and data science. CASC applies the power of high-performance computing and the efficiency of modern computational methods to the realms of stockpile stewardship, cyber and energy security, knowledge discovery for intelligence applications, and basic scientific discovery.  As the focus for research efforts in the Computation Directorate, CASC also leads the development of methods and techniques that advance the discipline of scientific computing.

In this talk, I will first present an overview of CASC and then I will take a deeper dive into topics at the intersection of computational science and data science. In particular, I will present our recent work on applying machine learning to Arbitrary Lagrangian-Eulerian (ALE) codes in order to automate mesh management to avoid mesh tangling failures. Potential benefits of this approach and opportunities for future work will be discussed.

Place: Zoom              https://arizona.zoom.us/j/91826900125     Password:    "Locute"