Abstract
Artificial Intelligence (AI) foundation models, while successful in various domains of language, speech, and vision, have not been adopted in production for fusion energy experiments. This brief paper presents how AI foundation models can be used for fusion energy diagnostics, enabling, for example, visual automated logbooks to provide greater insights into chains of plasma events in a discharge, in time for between-shot analysis.
| Original language | English (US) |
|---|---|
| Article number | 1531334 |
| Journal | Frontiers in Physics |
| Volume | 12 |
| DOIs | |
| State | Published - 2024 |
All Science Journal Classification (ASJC) codes
- Biophysics
- Materials Science (miscellaneous)
- Mathematical Physics
- General Physics and Astronomy
- Physical and Theoretical Chemistry
Keywords
- artificial intelligence
- diagnostic
- foundation models
- fusion energy
- machine learning
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