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2篇 您的检索式：作者名="Daniel Guthruf"

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		题名	作者	年代	出处	被引量
	1	Publisher Correction: Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning显示文摘Correction to:npj Computational Materials http://gffzzd3cc09b8251d45dfsx95pf6n0xwfb6xff.ffgz.tsg.suse.edu.cn/10.1038/s41524-023-00966-0,published online 16 February 2023 The original version of this Article contained several typographical errors in both the PDF and the HTML versions.In the first paragraph of‘Introduction’,the sentence‘(The phrase was coined by Nobel laureate Francis Crick in his book What Mad Pursuit:A personal view of scientific discovery)’duplicated reference 1.The sentence and brackets have been removed in the corrected version.	Julian Zimmermann Fabien Beguet Daniel Guthruf Bruno Langbehn Daniela Rupp	2023	npj Computational Materials2023，，1：	0
	2	Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning显示文摘Single-shot coherent diffraction imaging of isolated nanosized particles has seen remarkable success in recent years,yielding in-situ measurements with ultra-high spatial and temporal resolution.The progress of high-repetition-rate sources for intense X-ray pulses has further enabled recording datasets containing millions of diffraction images,which are needed for the structure determination of specimens with greater structural variety and dynamic experiments.The size of the datasets,however,represents a monumental problem for their analysis.Here,we present an automatized approach for finding semantic similarities in coherent diffraction images without relying on human expert labeling.By introducing the concept of projection learning,we extend self-supervised contrastive learning to the context of coherent diffraction imaging and achieve a dimensionality reduction producing semantically meaningful embeddings that align with physical intuition.The method yields substantial improvements compared to previous approaches,paving the way toward real-time and large-scale analysis of coherent diffraction experiments at X-ray free-electron lasers.	Julian Zimmermann Fabien Beguet Daniel Guthruf Bruno Langbehn Daniela Rupp	2023	npj Computational Materials2023，，1：	0

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