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		<title>Equivariant neural network predicts charge density over an order of magnitude faster</title>
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		<pubDate>Fri, 23 Oct 2026 13:07:10 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[band structure]]></category>
		<category><![CDATA[charge density]]></category>
		<category><![CDATA[density functional theory]]></category>
		<category><![CDATA[EdenGNN]]></category>
		<category><![CDATA[efficient]]></category>
		<category><![CDATA[electronic structure]]></category>
		<category><![CDATA[equivariant neural network]]></category>
		<category><![CDATA[high-throughput screening]]></category>
		<category><![CDATA[Machine Learning]]></category>
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					<description><![CDATA[A new equivariant graph neural network predicts charge density and band structures across the periodic table more than ten times faster than existing generalizable models, its developers report in Nature Machine Intelligence.]]></description>
		
		
		
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