Applied Math Seminar

Physics-informed machine learning for addressing the challenges of nuclear fusion

Speaker: Alan Kaptanoglu, University of Maryland

Location: Warren Weaver Hall 1302

Date: Monday, March 27, 2023, 3:45 p.m.


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 system identification, sparse regression, and physics-informed neural networks and illustrate how they can be used to design novel models and new devices.