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Challenges and opportunities for AI to help deliver fusion energy

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arXiv:2603.25777v1 Announce Type: cross Abstract: There is great potential for the application of AI tools in fusion research, and substantial worldwide benefit if fusion power is realised. However, using AI comes with its own challenges, many of which can be mitigated if responsible and robust methodologies are built into existing approaches. To do that requires close, long-term collaborations between fusion domain experts and AI developers and awareness of the fact that not all problems in fus

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Physics > Plasma Physics [Submitted on 26 Mar 2026] Challenges and opportunities for AI to help deliver fusion energy Adriano Agnello, Helen Brooks, Cyd Cowley, Iulia Georgescu, Alex Higginbottom, Richard Pearson, Tara Shears, Melanie Windridge There is great potential for the application of AI tools in fusion research, and substantial worldwide benefit if fusion power is realised. However, using AI comes with its own challenges, many of which can be mitigated if responsible and robust methodologies are built into existing approaches. To do that requires close, long-term collaborations between fusion domain experts and AI developers and awareness of the fact that not all problems in fusion research are best tackled with AI tools. In April 2025, experts from academia, industry, UKAEA and STFC discussed how AI can be used to advance R&D in fusion energy at the first edition of The Economist FusionFest event. This Perspective is an expanded and updated summary of the round table discussion, providing more context and examples. Comments: Submitted to Plasma Physics and Confined Fusion Subjects: Plasma Physics (physics.plasm-ph); Artificial Intelligence (cs.AI) Cite as: arXiv:2603.25777 [physics.plasm-ph] (or arXiv:2603.25777v1 [physics.plasm-ph] for this version) https://doi.org/10.48550/arXiv.2603.25777 Focus to learn more Submission history From: Iulia Georgescu Dr [view email] [v1] Thu, 26 Mar 2026 13:15:37 UTC (52 KB) Access Paper: HTML (experimental) view license Current browse context: physics.plasm-ph < prev | next > new | recent | 2026-03 Change to browse by: cs cs.AI physics References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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