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.
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Presenters
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Egemen Kolemen
Princeton University
Authors
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Egemen Kolemen
Princeton University