Speaker:
Alan Kaptanoglu
Institution:
University of Maryland
Date:
Tuesday, March 14, 2023
Time:
11:00 am
Location:
FRH 4135 + Remote
Abstract:
Increasingly sophisticated optimization and machine learning
methods are being applied to solve some of the outstanding problems in the
field of nuclear fusion. I will discuss some advances in sparse regression
and other data-driven tools, illustrating how they can be used to design
new models and experiments.
Host:
William Heidbrink