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	<title>nudged elastic band &#8211; BIOENGINEER.ORG</title>
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		<title>Graph Neural Networks Map the Hidden Highways That Decide Whether Lithium Batteries Grow Dendrites</title>
		<link>https://bioengineer.org/graph-neural-networks-map-the-hidden-highways-that-decide-whether-lithium-batteries-grow-dendrites/</link>
		
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		<pubDate>Sat, 17 Oct 2026 10:49:03 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Battery materials]]></category>
		<category><![CDATA[density functional theory]]></category>
		<category><![CDATA[grain boundaries]]></category>
		<category><![CDATA[graph neural networks]]></category>
		<category><![CDATA[ion diffusion]]></category>
		<category><![CDATA[lithium dendrites]]></category>
		<category><![CDATA[Lithium metal batteries]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[migration barrier]]></category>
		<category><![CDATA[nudged elastic band]]></category>
		<category><![CDATA[solid electrolyte interphase]]></category>
		<category><![CDATA[Variational Autoencoder]]></category>
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					<description><![CDATA[Researchers at the University of Oklahoma combined density functional theory calculations with graph neural networks to predict lithium-ion migration across the solid electrolyte interphase, revealing how grain chemistry and boundary structure jointly control the dendrite-forming transport inhomogeneities that limit lithium-metal batteries.]]></description>
		
		
		
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