AI for Fusion Diagnostics, Control and Science Discovery

ORAL

Abstract

I will talk about some of our recent accomplishments in application of AI/ML to fusion reactors: 1) Robust plasma state prediction even when there is sensor failure 2) Finding the minimal set of diagnostics needed to operate a reactor 3) Fusing data from multiple diagnostics to obtain new physics insights 4) Prediction of plasma evolution by combining experimental data and simulations 5) Reinforcement learning control that achieves high performance fusion reactor operation without instabilities.

*This material is based on work supported by the US Department of Energy, Office of Science, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under awards DE-FC02-04ER54698 and DE-AC02-09CH11466.

Presenters

  • Egemen Kolemen

    • Princeton University

Authors

  • Egemen Kolemen

    • Princeton University