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<rss version="2.0"><channel><title>Modeling nuclear fusion at lightning speed — Live Feed</title><link>https://www.live-feeds.com/feed/modeling-nuclear-fusion-at-lightning-speed</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/modeling-nuclear-fusion-at-lightning-speed/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>Researchers Accelerate Nuclear Fusion Modeling Using AI and Reduced Models</title><link>https://www.live-feeds.com/feed/modeling-nuclear-fusion-at-lightning-speed</link><guid isPermaLink="false">https://www.live-feeds.com/feed/modeling-nuclear-fusion-at-lightning-speed#u16188</guid><pubDate>Sat, 27 Jun 2026 19:36:59 +0000</pubDate><description>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 towa</description></item>
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