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		<title>Research report: Bayesian optimization-driven exploration of process–structure–property relationship for polyethylene composite films</title>
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		<pubDate>Mon, 26 Oct 2026 02:18:22 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Bayesian]]></category>
		<category><![CDATA[Bayesian Optimization]]></category>
		<category><![CDATA[crystallinity]]></category>
		<category><![CDATA[elongation at break]]></category>
		<category><![CDATA[graphene oxide]]></category>
		<category><![CDATA[hot drawing]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[materials design]]></category>
		<category><![CDATA[optimization-driven]]></category>
		<category><![CDATA[polyethylene composites]]></category>
		<category><![CDATA[polymer orientation]]></category>
		<category><![CDATA[tensile strength]]></category>
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					<description><![CDATA[An experiment using multi-objective Bayesian optimization mapped the strength–stretchability trade-off in polyethylene composite films and linked it to molecular alignment and crystallite structure.]]></description>
		
		
		
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