New AI Models of Plasma Heating Lead to Important Corrections in Computer Code Used for Fusion Research

Credit: Michael Livingston / PPPL Communications Department

Álvaro Sánchez-Villar, an associate research physicist at the U.S. Department of Energy’s Princeton Plasma Physics Laboratory, has developed new AI models for plasma heating that increase the prediction speed while preserving accuracy and providing accurate predictions where original numerical codes failed.

« New AI Models of Plasma Heating Lead to Important Corrections in Computer Code Used for Fusion Research

Credit: Álvaro Sánchez-Villar / PPPL

Fig. 1. Heating profiles for deuterium are shown in a (d) minor, (e) major and (f) critical outlier cases. In black, the original numerical code is shown with outlier features (spikes). In red, the predictions of the AI model are shown. In green, the predictions of the corrected code are shown, which were anticipated by the AI models, even predicting the higher heating in the highlighted region.

« New AI Models of Plasma Heating Lead to Important Corrections in Computer Code Used for Fusion Research

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