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AI Meets Fusion: CMU, Princeton Join Forces to Pursue Clean, Abundant Power - Robotics Institute Carnegie Mellon University

Nov 07, 2024 - ri.cmu.edu
Carnegie Mellon University and Princeton have joined forces to explore nuclear fusion as a cleaner, safer, and long-lasting source of energy. The Nuclear Fusion Project, a collaboration between the Carnegie Mellon Robotics Institute, the Machine Learning Department, and the Princeton Plasma Physics Lab, has been working on this for three years. The team has made significant advancements using artificial intelligence (AI) to control the challenging dynamics of nuclear fusion. They have successfully used machine learning algorithms to prevent plasma instability, a common issue in fusion reactions.

The Department of Energy has renewed its grant, providing an additional three years of funding for the team’s research. The team is now preparing for their next experiment, which aims to further investigate the application of reinforcement learning in controlling key aspects of plasma behavior. Successful nuclear fusion could offer a clean and abundant energy source that could help mitigate major global issues like climate change, water scarcity, and food distribution.

Key takeaways:

  • A team of researchers from Carnegie Mellon University and Princeton University are using artificial intelligence to control the challenging dynamics of nuclear fusion, a potential clean, safe, and long-lasting source of energy.
  • Nuclear fusion does not create long-term radioactive waste, unlike nuclear fission which is currently used in nuclear power plants.
  • The team has made significant advancements in using AI to control the dynamics of nuclear fusion, with successful experiments conducted at the DIII-D National Fusion Facility in San Diego.
  • The Department of Energy has renewed its grant, providing an additional three years of funding for the team’s research, positioning Carnegie Mellon University as one of the leaders in global nuclear fusion research.
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