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Sunday, September 13, 2026

Vol. III · August 2026

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Science · med impact

Lehigh researchers aim to usher in the ‘decade of nuclear fusion’

Lehigh University’s Plasma Control Laboratory has secured federal funding to develop advanced machine learning-based control systems aimed at predicting and mitigating plasma disruptions in tokamaks.

By Fusion Energy News Desk·Wed, 26 Aug 2026 12:01:17 GMT·8/26/2026, 12:01:17 PM·Reporting·✓ Editor-verified
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Researchers at Lehigh University's Plasma Control Laboratory, led by director Eugenio Schuster, have received new federal funding to advance plasma control methodologies for tokamak fusion devices. The project focuses on developing sophisticated control systems to prevent plasma disruptions, which are rapid, uncontrolled terminations of the plasma discharge. These events pose a significant risk to the structural integrity of large-scale devices like ITER by inducing extreme thermal loads and strong electromagnetic forces on plasma-facing components. The lab's work aims to create a reliable framework for real-time disruption prediction and mitigation, a critical requirement for the sustained, safe operation of future fusion power plants.

Plasma disruptions are a primary operational challenge for the tokamak concept. They are often triggered by magnetohydrodynamic (MHD) instabilities that grow uncontrollably, leading to a rapid loss of thermal and magnetic energy in milliseconds. The resulting thermal quench can deposit immense heat fluxes onto the divertor and first wall, while the subsequent current quench induces large eddy currents and mechanical stresses in the vacuum vessel. For a reactor-scale device, the energy released could be hundreds of megajoules. Consequently, developing robust control schemes that can anticipate the onset of these instabilities and actively intervene is a high-priority research area for the international fusion community. Source: Tokamak Energy

They are often triggered by magnetohydrodynamic (MHD) instabilities that grow uncontrollably, leading to a rapid loss of thermal and magnetic energy in milliseconds.

The Lehigh group's approach integrates advanced diagnostics with machine learning algorithms to build predictive models. These models are trained on vast datasets from existing tokamak experiments to recognize subtle precursors to disruptive events. Once a high-risk state is identified, the control system is designed to deploy actuators—such as localized gas injection or shattered pellet injection—to either suppress the instability or trigger a more controlled, gentler plasma termination. This preemptive strategy is essential for moving beyond simple avoidance to active, reliable management of the plasma state, thereby increasing the operational availability and economic viability of a tokamak-based power source. Source: Tokamak Energy

This research directly supports the operational goals of major international projects, including the ITER experiment, which will require a highly reliable disruption mitigation system to protect its substantial investment and achieve its scientific objectives. According to Schuster, successful development of these control technologies is a key step toward making the 2030s the “decade of nuclear fusion.” The ability to maintain stable, long-pulse plasmas without the risk of damaging disruptions is a prerequisite for demonstrating net energy gain and designing commercially attractive fusion reactors. The outcomes from this federally-backed research will contribute to the foundational control logic necessary for the next generation of fusion devices. Source: Tokamak Energy

Reporting grounded in coverage from the original publisher read the source .

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