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	<title>superplasticity &#8211; BIOENGINEER.ORG</title>
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		<title>Machine Learning Meets a Classic Theory to Explain Why a Featherweight Magnesium Alloy Stretches Like Gum</title>
		<link>https://bioengineer.org/machine-learning-meets-a-classic-theory-to-explain-why-a-featherweight-magnesium-alloy-stretches-like-gum/</link>
		
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		<pubDate>Tue, 06 Oct 2026 17:20:40 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[activation energy]]></category>
		<category><![CDATA[creep]]></category>
		<category><![CDATA[flow stress]]></category>
		<category><![CDATA[grain boundary sliding]]></category>
		<category><![CDATA[Hall-Petch]]></category>
		<category><![CDATA[high-pressure torsion]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[magnesium-lithium alloy]]></category>
		<category><![CDATA[severe plastic deformation]]></category>
		<category><![CDATA[superplasticity]]></category>
		<category><![CDATA[Symbolic regression]]></category>
		<category><![CDATA[ultrafine grains]]></category>
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					<description><![CDATA[Experiments and machine learning reveal that grain boundary sliding governs the exceptional room-temperature ductility of an ultrafine-grained Mg–Li alloy, while black-box models falter outside their training data.]]></description>
		
		
		
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