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	<title>parasitic losses &#8211; BIOENGINEER.ORG</title>
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	<title>parasitic losses &#8211; BIOENGINEER.ORG</title>
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		<title>Wavy, Tapered Channels and an AI Ensemble Push Fuel Cells to Record Power</title>
		<link>https://bioengineer.org/wavy-tapered-channels-and-an-ai-ensemble-push-fuel-cells-to-record-power/</link>
		
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		<pubDate>Sat, 10 Oct 2026 12:16:27 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Computational fluid dynamics]]></category>
		<category><![CDATA[flow field design]]></category>
		<category><![CDATA[hydrogen energy]]></category>
		<category><![CDATA[Multi-objective optimization]]></category>
		<category><![CDATA[NSGA-II]]></category>
		<category><![CDATA[parasitic losses]]></category>
		<category><![CDATA[Pareto front]]></category>
		<category><![CDATA[PEM fuel cell]]></category>
		<category><![CDATA[power density]]></category>
		<category><![CDATA[response surface methodology]]></category>
		<category><![CDATA[tapered channels]]></category>
		<category><![CDATA[wavy sub-channels]]></category>
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					<description><![CDATA[Researchers combined tapered main channels with wavy sub-channels in a PEM fuel cell and used a physics-informed surrogate model with an ensemble of five optimization algorithms to achieve a peak power density of 0.913 W/cm², a 45.6 percent gain over conventional parallel designs, while cutting parasitic pumping losses by 84.5 percent.]]></description>
		
		
		
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