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	<title>microencapsulated PCM &#8211; BIOENGINEER.ORG</title>
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		<title>Interpretable machine learning predicts strength of heat-storing microcapsule concrete in external lab tests</title>
		<link>https://bioengineer.org/interpretable-machine-learning-predicts-strength-of-heat-storing-microcapsule-concrete-in-external-lab-tests/</link>
		
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		<pubDate>Sun, 25 Oct 2026 17:42:27 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Bayesian Optimization]]></category>
		<category><![CDATA[building materials]]></category>
		<category><![CDATA[cementitious composites]]></category>
		<category><![CDATA[compressive strength]]></category>
		<category><![CDATA[concrete]]></category>
		<category><![CDATA[external validation]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[microencapsulated PCM]]></category>
		<category><![CDATA[phase change materials]]></category>
		<category><![CDATA[SHAP interpretability]]></category>
		<category><![CDATA[thermal energy storage]]></category>
		<category><![CDATA[XGBoost]]></category>
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					<description><![CDATA[Researchers combined new laboratory tests with an interpretable machine-learning framework to predict the compressive strength of microcapsule-modified concrete, achieving an external R-squared of 0.90 on independently produced mixtures.]]></description>
		
		
		
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