Artificial intelligence helps accelerate progress toward efficient fusion reactions

Tuesday, Dec 19, 2017

Before scientists can effectively capture and deploy fusion energy, they must learn to predict major disruptions that can halt fusion reactions and damage the walls of doughnut-shaped fusion devices called tokamaks. Researchers at the U.S. Department of Energy’s Princeton Plasma Physics Laboratory (PPPL) and Princeton University are employing artificial intelligence to improve predictive capability. Deep learning developers involved in this work include, standing from left, Willliam Tang and Eliot Feibush, with Alexey Svyatkovskiy, seated.

Read the rest of the article here, on the University news page.