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实体 Ptychographic phase reconstruction and aberration correction of STEM image using 4D dataset recorded by pixelated detector

Ptychographic phase reconstruction and aberration correction of STEM image using 4D dataset recorded by pixelated detector

PulseAugur coverage of Ptychographic phase reconstruction and aberration correction of STEM image using 4D dataset recorded by pixelated detector — every cluster mentioning Ptychographic phase reconstruction and aberration correction of STEM image using 4D dataset recorded by pixelated detector across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_254884 ·

    深度学习框架实现更快、跨材料的叠层重建

    研究人员开发了一种新颖的深度学习框架用于叠层相位重建,显著降低了与大规模4D-STEM数据相关的计算成本。该新方法直接从衍射测量中预测全场相位图,绕过了迭代优化。值得注意的是,该模型展示了有效的零样本跨材料迁移能力,无需目标域微调即可成功重建AuPd和MoS$_2$等材料的相位图。与传统的迭代方法相比,直接的局部到全局流水线将重建时间缩短了10倍。