AI Fusion Plasma Control
Machine learning for fusion plasma stability and confinement optimization
The Problem
“Prevent plasma disruptions and maximize fusion uptime”
Organizations face these key challenges:
High disruption rates causing unplanned downtime, lost experimental shots, and risk of damage to divertor and first-wall components
Control complexity: dozens of coupled actuators and diagnostics with millisecond-scale dynamics that exceed manual tuning and traditional controller adaptability
Conservative operating margins required for safety reduce achievable plasma performance (beta, confinement, pulse length) and slow progress toward net energy gain
Impact When Solved
Real-World Use Cases
AI Voltage Control System
This AI system helps keep the voltage in power grids stable, even when renewable energy sources like solar and wind fluctuate.
AI Grid Congestion Management
This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.
AI Power Grid Congestion Management
This AI system helps manage electricity grid congestion by optimizing the layout and connections of the grid, reducing costs and emissions.