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Challenges and opportunities for AI to help deliver fusion energy

arXiv 2603.25777 ↗First posted 26 Mar 2026physics.plasm-ph cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 30 references that are in the map. First posted on arXiv 26 Mar 2026.

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  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297

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