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		<title>Machine Learning Meets Ballistics: Predicting How PEEK Plates Deflect High-Speed Impacts</title>
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		<pubDate>Wed, 14 Oct 2026 18:54:14 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[aerospace materials]]></category>
		<category><![CDATA[ballistic impact]]></category>
		<category><![CDATA[constitutive model]]></category>
		<category><![CDATA[crater geometry]]></category>
		<category><![CDATA[finite-element method]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[neural network]]></category>
		<category><![CDATA[oblique impact]]></category>
		<category><![CDATA[PEEK]]></category>
		<category><![CDATA[Polymers]]></category>
		<category><![CDATA[strain rate hardening]]></category>
		<category><![CDATA[thermal softening]]></category>
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					<description><![CDATA[Researchers combined ballistic experiments, finite element modeling, and a neural network to predict how PEEK plates fail under oblique high-speed impact.]]></description>
		
		
		
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