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	<title>tokamak &#8211; UF Innovate</title>
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		<title>UF Researchers Using Machine Learning To Pursue Fusion Power (UF News)</title>
		<link>https://innovate.research.ufl.edu/uf-researchers-using-machine-learning-to-pursue-fusion-power/</link>
		
		<dc:creator><![CDATA[sooyoungryu]]></dc:creator>
		<pubDate>Tue, 03 Mar 2026 16:53:39 +0000</pubDate>
				<category><![CDATA[News Brief]]></category>
		<category><![CDATA[UF Inventors]]></category>
		<category><![CDATA[Christopher McDevitt]]></category>
		<category><![CDATA[Nuclear Engineering]]></category>
		<category><![CDATA[tokamak]]></category>
		<guid isPermaLink="false">https://innovate.research.ufl.edu/?p=21806</guid>

					<description><![CDATA[UF researchers are advancing fusion energy research by studying how to predict and prevent unstable plasma behavior inside tokamak reactors, a key challenge in harnessing carbon-free power from nuclear fusion.]]></description>
										<content:encoded><![CDATA[<p>Fusion research seeks to recreate on earth the processes responsible for powering the sun. Fusing atoms, which requires temperatures in excess of 100 million degrees Celsius, promises an abundant, carbon-free source of energy.</p>
<p>But first, researchers need to tame the beast — the ionized gas plasma held in magnetic fields inside a reactor known as a tokamak. Armed with recent federal grants, University of Florida researchers are working to do just that.</p>
<p>For <a href="https://mse.ufl.edu/people/name/chris-mcdevitt/">Christopher McDevitt</a>, Ph.D., a plasma physicist and professor in UF&#8217;s Nuclear Engineering program, understanding, predicting and ultimately preventing “off-normal” plasma behaviors inside a tokamak is the central challenge facing researchers around the world as they try to harness the energy released by fusing atoms together.</p>
<p>&nbsp;</p>
<p>Read more about <a href="https://news.ufl.edu/2026/03/fusion-machine-learning/">UF Researchers Using Machine Learning To Pursue Fusion Power.</a></p>
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