Modeling nuclear fusion at lightning speed
Virginia Tech mathematician Ionut Farcas is using reduced computational models to simulate nuclear fusion plasma. This method cuts computation time from days to seconds, allowing for real-time decision making in fusion devices. A Chinese startup is also using AI to address expensive software bottlenecks in fusion energy.
What changed
New reports highlight specific time reductions in plasma simulation and AI applications by a Chinese startup.
Live updates
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Researchers Accelerate Nuclear Fusion Modeling Using AI and Reduced Models
confidence 90%Virginia Tech mathematician Ionut Farcas is using reduced computational models to simulate nuclear fusion plasma. This method cuts computation time from days to seconds, allowing for real-time decision making in fusion devices. A Chinese startup is also using AI to address expensive software bottlenecks in fusion energy.
What's confirmed:
- Ionut Farcas of Virginia Tech uses reduced modeling to simulate plasma physics.
- The reduced model reduces computation time from days to seconds.
- Nuclear fusion is the process that powers the sun and stars.
- Simulation is a slow and expensive but essential step toward commercially viable nuclear fusion.
Still unconfirmed:
- A Chinese startup has used AI to solve the priciest fusion energy bottleneck.
- Government agencies and investors are pouring billions into nuclear fusion research.