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.

Presenters

  • Egemen Kolemen

    Princeton University

Authors

  • Egemen Kolemen

    Princeton University