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	<title>Fourier features &#8211; BIOENGINEER.ORG</title>
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		<title>ADGB-ONet: an attention-driven gradient balancing operator network for scattering pressure field prediction</title>
		<link>https://bioengineer.org/adgb-onet-an-attention-driven-gradient-balancing-operator-network-for-scattering-pressure-field-prediction/</link>
		
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		<pubDate>Wed, 21 Oct 2026 02:50:41 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[acoustic metasurfaces]]></category>
		<category><![CDATA[ADGB-ONet]]></category>
		<category><![CDATA[Attention Mechanisms]]></category>
		<category><![CDATA[attention-driven]]></category>
		<category><![CDATA[balancing]]></category>
		<category><![CDATA[computational acoustics]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[Fourier features]]></category>
		<category><![CDATA[gradient]]></category>
		<category><![CDATA[neural surrogate models]]></category>
		<category><![CDATA[operator learning]]></category>
		<category><![CDATA[scattered pressure fields]]></category>
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					<description><![CDATA[A computational study reports that ADGB-ONet achieved a 2.88% mean relative error when predicting scattered pressure fields, outperforming the compared deep-learning models in an acoustic metasurface simulation setting.]]></description>
		
		
		
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