Cosmologists are increasingly using advanced statistical methods and algorithms to tackle challenging questions about the universe. But analysis of the torrents of data from current and future observatories may also benefit from the use of innovative machine learning techniques.
To explore possible multidisciplinary opportunities, Argonne researchers organized a three-day workshop titled “Advanced Statistics meets Machine Learning III.”  

Argonne’s fluid-thermal simulation codes Nek5000 and NekRS have been designated to help the U.S. Department of Energy (DOE) and the Nuclear Regulatory Commission (NRC) in licensing processes for advanced nuclear technology.

Diversity, inclusion and internships with premier researchers were the topics that attracted about 100 undergraduate students during the the U.S. Department of Energy’s (DOE) Argonne National Laboratory’s First Look@Argonne: A Minorities in STEM Conference.