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	<title>elastohydrodynamic lubrication &#8211; BIOENGINEER.ORG</title>
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	<title>elastohydrodynamic lubrication &#8211; BIOENGINEER.ORG</title>
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		<title>AI Meets Grease: Machine Learning Predicts How Graphene Keeps Machines Cool and Wear-Free</title>
		<link>https://bioengineer.org/ai-meets-grease-machine-learning-predicts-how-graphene-keeps-machines-cool-and-wear-free/</link>
		
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		<pubDate>Tue, 13 Oct 2026 05:57:50 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[elastohydrodynamic lubrication]]></category>
		<category><![CDATA[friction]]></category>
		<category><![CDATA[graphene]]></category>
		<category><![CDATA[grease lubrication]]></category>
		<category><![CDATA[lambda ratio]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[nanoparticle additives]]></category>
		<category><![CDATA[predictive modeling]]></category>
		<category><![CDATA[starvation]]></category>
		<category><![CDATA[thermal response]]></category>
		<category><![CDATA[tribology]]></category>
		<category><![CDATA[wear prediction]]></category>
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					<description><![CDATA[Researchers have built a hybrid machine learning framework that predicts how graphene-enhanced grease heats up, wears down, and transitions between lubrication regimes over time, revealing an optimal concentration near 0.5 percent that cuts peak temperatures by roughly 30 percent and wear by about 35 percent.]]></description>
		
		
		
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