Scientific simulations have driven computing at Lawrence Livermore National Laboratory (LLNL) for decades. During that time, we have seen significant changes in hardware, tools and algorithms. Today, data science, including machine learning, is one of the fastest growing areas of computing and LLNL is investigating how we can incorporate data science into our applications. While the integration between experiments and simulations is well accepted in our community, the introduction of machine learning is often seen as something that will not give us answers to the required accuracy. I will explore applications for machine learning in scientific simulations that are showing promising results and some further investigation that is needed to better understand its usefulness.
The movie in the presentation can be found here: https://www.youtube.com/watch?v=7ELRZrjCFd0
