The Fusion Energy Sciences (FES) and Advanced Scientific Computing Research (ASCR) programs of the Office of Science, U.S. Department of Energy, will host a workshop on Advancing Fusion with Machine Learning in Gaithersburg, MD. The workshop will start on Tuesday, April 30, and end on Thursday, May 2.
Among the objectives of this workshop are to identify areas where application of Machine Learning / Artificial Intelligence (ML/AI) techniques and data science more broadly can have a transformative impact on FES mission areas; identify unique needs and gaps that can be addressed through coordinated partnerships between fusion and computational scientists; explore synergies and opportunities within DOE and outside, including private industry; and identify research principles for maximizing effectiveness of applying ML/AI methods to fusion problems. The findings of the workshop, in the form of a set of priority research opportunities, will be summarized in a report that will be submitted to FES and ASCR after the conclusion of the workshop.
Chair: David Humphreys (General Atomics)
Co-Chair: Ana Kupresanin (LLNL)
John Mandrekas and Matthew Lanctot (FES)
Randall Laviolette (ASCR)
Lodging Cut Off date is Monday, April 8, 2019
Room Rate is $219 plus tax
Check In Date: April 29, 2019
Check Out Date: May 2, 2019