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arXiv 2602.07792physics.optics
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利用双光子显微镜和数字图像处理对周期性极化锂铌酸波导中铁电域动态进行系统分析

Systematic Analysis of Ferroelectric Domain Dynamics in Periodically Poled Lithium Niobate Waveguides Using Two-Photon Microscopy and Digital Imaging Processing

Phase Sensitive Innovations Inc(Phase Sensitive Innovations 公司);University of Delaware(特拉华大学)

Jiuyi Zhang, Christopher Cullen, Matthew Konkol, Peng Yao, Timothy Creazzo, Janusz Murakowski, Ruidong Xue, Xiaofeng Zhu, Md Omar Faruk Rasel, Yash Kabra, Dennis Prather

AI总结:

本研究利用双光子显微镜和数字图像处理技术,系统分析周期性极化锂铌酸波导中铁电域动态,提出了一种可扩展的表征方法以优化PPLN器件制造。

摘要:

我们提出了一种适用于批量生产的表征和分析方法,用于利用双光子显微镜和定量图像处理来表征和优化x切薄膜周期性极化锂铌酸(PPLN)器件。该方法能够非破坏性地直接提取关键结构参数,如占空比、相匹配行为和域均匀性,跨大规模器件集。通过将双光子显微镜得出的结构指标与系统性极化条件变化相关联,我们建立了一种可扩展的、图像驱动的PPLN制造评估和改进方法。所得到的工作流程支持晶圆级工艺开发,并加速了铌酸锂光子集成电路(PICs)的制造和封装。

英文摘要:

We present a characterization and analysis methodology suitable for volume production for characterizing and optimizing x-cut thin-film periodically poled lithium niobate (PPLN) devices using two-photon (2P) microscopy with quantitative image processing. This method enables direct extraction of key structural parameters, such as duty cycle, phase-matching behavior, and domain uniformity, across large device sets in a non-destructive manner. By correlating 2P microscopy-derived structural metrics with systematic variations in poling conditions, we establish a scalable, image-driven approach for evaluating and improving PPLN fabrication. The resulting workflow supports wafer-level process development and accelerates the manufacturing and packaging of lithium niobate photonic integrated circuits (PICs).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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