Diebold Alain C, Ophus Colin, Kordijazi Amir, Consiglio Steven, Lombardo Sarah, Triyoso Dina, Tapily Kandabara, Mian Anna, Shankar Nithin B V I, Morávek Tomáš, Chandran Narendraraj, Stroud Robert, Leusink Gert
CNSE, University at Albany, SUNY, 257 Fuller Road, Albany, NY 12203, USA.
Department of Materials Science and Engineering, Stanford University, William Frederick Durand Building, 496 Lomita Mall, Suite 102, Stanford, CA 94305, USA.
Microsc Microanal. 2025 Mar 17;31(2). doi: 10.1093/mam/ozaf019.
Thin film processing methods used to fabricate ferroelectric hafnium zirconium oxide typically result in small-grained films with a mixture of ferroelectric and nonferroelectric crystal phases with various crystallographic orientations. Although reliable, rapid determination of grain phase and orientation from four-dimensional scanning transmission electron microscopy maps is critical for measuring increased ferroelectric response, an assessment of automated analysis methods is not available. Here, a comparison of results between commercially available software (NanoMEGAS ASTAR) and an open-source code (py4DSTEM) is presented. Typically, the lamella used for STEM characterization are thicker than the average hafnium zirconium oxide (HZO) grain size, resulting in 4D maps where dynamical diffraction from more than one grain occurs in a significant number of pixels. Thus, precession electron diffraction (PED) data was required for reliable automated template matching analysis. Reliably distinguishing between the different crystal phases of HZO is challenging due to the small difference in lattice constant between phases and the possible presence of multiple orthorhombic phases. The HZO films in this study were characterized using PED, and precession diffraction simulation capability was added to py4DSTEM. Correlation of automated phase mapping with electrical verification of the ferroelectric effect confirmed the identification of the noncentrosymmetric space group 29 orthorhombic phase of HZO.
用于制造铁电铪锆氧化物的薄膜处理方法通常会产生具有小晶粒的薄膜,这些薄膜包含铁电和非铁电晶体相的混合物,且具有各种晶体取向。尽管从四维扫描透射电子显微镜图中可靠、快速地确定晶粒相和取向对于测量增强的铁电响应至关重要,但目前尚无对自动分析方法的评估。本文展示了市售软件(NanoMEGAS ASTAR)和开源代码(py4DSTEM)之间的结果比较。通常,用于扫描透射电子显微镜表征的薄片比平均铪锆氧化物(HZO)晶粒尺寸厚,这导致在大量像素中出现来自多个晶粒的动态衍射的四维图。因此,可靠的自动模板匹配分析需要进动电子衍射(PED)数据。由于不同相之间晶格常数差异小以及可能存在多个正交相,可靠区分HZO的不同晶体相具有挑战性。本研究中的HZO薄膜使用PED进行了表征,并在py4DSTEM中添加了进动衍射模拟功能。自动相图与铁电效应的电学验证之间的相关性证实了对HZO非中心对称空间群29正交相的识别。