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	<title>quantitative phase analysis &#8211; BIOENGINEER.ORG</title>
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		<title>CNN or Transformer? AI Duel Reveals Best Way to Read X-ray Patterns</title>
		<link>https://bioengineer.org/cnn-or-transformer-ai-duel-reveals-best-way-to-read-x-ray-patterns/</link>
		
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		<pubDate>Thu, 08 Oct 2026 17:26:49 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[mineral residues]]></category>
		<category><![CDATA[Multi-task learning]]></category>
		<category><![CDATA[quantitative phase analysis]]></category>
		<category><![CDATA[recycling]]></category>
		<category><![CDATA[Rietveld refinement]]></category>
		<category><![CDATA[self-attention]]></category>
		<category><![CDATA[simulation-to-real]]></category>
		<category><![CDATA[Transfer Learning]]></category>
		<category><![CDATA[vision transformers]]></category>
		<category><![CDATA[X-ray diffraction]]></category>
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					<description><![CDATA[A controlled head-to-head study shows Vision Transformers beat convolutional networks on real X-ray diffraction data once fine-tuned, while CNNs remain more robust for zero-shot transfer.]]></description>
		
		
		
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