Emerging Technologies Episode 3: Fusion Energy
Mathematical Models and FAIR data are helping power machine learning to achieve power positive fusion reactions.
Show Notes
Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our third episode is all about Fusion Energy. Hosts Sam Hansen and Sadie Witkowski are joined by Andrew Christlieb, Professor of mathematics and computational science and engineering at Michigan State University and director for the Center of Hierarchical and Robust Modeling for Non-Equilibrium Transport, and Cristina Rea, principal research scientist here at the Plasma Science and Fusion Center at the Massachusetts Institute of Technology and leader of the Disruption Studies Group.
Find our transcript here: Google Doc or .txt file
Curious to learn more? Check out these additional links:
Open and FAIR Fusion for Machine Learning Applications
Predicting fusion ignition at the National Ignition Facility with physics-informed deep learning
Follow more of IMSI’s work: www.IMSI.institute, (bluesky) IMSI.institute (instagram) IMSI.institute
Music by Blue Dot Sessions
The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348