US fusion reactors to become better with Birdshot AI for 'first wall'

Researchers at Texas A&M University (TAMU) are pioneering an AI-driven approach to enhance nuclear fusion reactors by developing an optimal “first wall” material—the reactor’s inner surface that withstands plasma. Funded by the U.S. Department of Energy, the team, led by Dr. Raymundo Arróyave, is using Birdshot AI and machine learning to accelerate the identification of durable materials that could extend reactor life and reduce costs. This project aligns with the CHADWICK program’s mission to create materials resilient to fusion’s intense environment. By simulating and testing numerous materials, the researchers aim to overcome a significant barrier to fusion’s commercialization.

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