R. Granetz

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About

R. Granetz is a leading experimental plasma physicist whose career has been pivotal in advancing magnetic confinement fusion, particularly through his work on the Alcator C-Mod tokamak at MIT. His primary research areas include plasma disruption physics, runaway electron dynamics, and the application of machine learning to fusion energy. Granetz made foundational contributions to understanding and mitigating disruptions—sudden losses of plasma confinement that pose a major challenge to reactor-scale devices. He led key experiments characterizing disruption triggers, halo currents, and runaway electron generation, directly informing the design of ITER's disruption mitigation system. His highly cited 2020 report, "Advancing Fusion with Machine Learning Research Needs Workshop Report" (46 citations), helped catalyze the integration of AI/ML methods into fusion research, addressing problems from real-time plasma control to predictive modeling. With decades of influential publications and a reputation for rigorous, collaborative science, Granetz has shaped both the experimental understanding of plasma instabilities and the strategic direction of fusion research. His work remains essential reading for students and researchers tackling the grand challenge of harnessing fusion energy.