AI for Fusion Energy Challenge
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The energy crisis poses a significant global challenge in our time. While the search for efficient and sustainable energy sources is complex, one promising avenue is fusion energy. Fusion energy is produced when two light elements, i.e., hydrogen isotopes, combine to form a single heavier one, with the consequent release of energy. The scientific community is actively engaged in making fusion a commercially viable alternative energy source – scientists and engineers worldwide are collaborating to make this a reality.
Within the IAEA Coordinated Research Project on AI for Fusion, this challenge aims to explore the potential of machine learning in contributing to multi-machine disruption prediction. Participants will use data from three distinct fusion devices called “tokamaks” (Alcator C-Mod, J-TEXT, and HL-2A) to develop a cross-machine disruption prediction model using ML, with strong generalization capabilities. Participants will acquire hands-on experience in AI/ML in areas relevant to fusion energy science and compete for prizes, recognition, and certificates.