自然科学版
陕西师范大学学报(自然科学版)
电介质物理和材料专刊
像差校正高分辨原子像的皮米精度定量计算及应用
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卢江波1*,林艳利1,杨元勋1,田晨阳1,张永森2,朱陆军1,陈晓明1,马超2
(1 陕西师范大学 物理学与信息技术学院,陕西 西安710119;2 湖南大学 材料科学与工程学院,湖南 长沙 410082)
卢江波,男,博士,副教授,研究方向为透射电子显微学。E-mail:jblu10@snnu.edu.cn
摘要:
为得到功能材料亚埃尺度的结构信息并进行定量分析,首先获得材料微观结构的像差校正高分辨原子像,之后对高分辨原子像进行形态学处理,拟合、定量计算每个原子的中心位置,得到原子极化皮米级位移,并进行误差分析。利用原子位置精确定位方法进一步对铁电薄膜PbTiO3中的90°畴结构以及畴壁进行定量分析,得到了单畴的原子位移量以及“头对尾”畴界的单胞尺度极化。对LaCoO3薄膜的原子分辨环形明场像进行定量分析,得到了氧八面体倾转角度大小及其在界面位置的变化。本方法可在皮米精度有效获得材料结构信息,并进行量化表征。
关键词:
高分辨原子像;图像处理;定量表征;PbTiO3畴结构;LaCoO3薄膜
收稿日期:
2020-09-16
中图分类号:
O469
文献标识码:
A
文章编号:
1672-4291(2021)04-0079-07
基金项目:
国家自然科学基金(51501143);陕西省自然科学基础研究计划(2021JM-203);中央高校基本科研业务费专项资金(GK202003013,GK201803016)
Doi:
Application and quantitative calculation of aberration-corrected high resolution images at picometer precision
LU Jiangbo1*, LIN Yanli1, YANG Yuanxun1, TIAN Chenyang1, ZHANG Yongsen2, ZHU Lujun1, CHEN Xiaoming1, MA Chao2
(1 School of Physics and Information Technology, Shaanxi Normal University,Xi′an 710119, Shaanxi, China;2 College of Materials Science and Engineering, Hunan University, Changsha 410082, Hunan, China)
Abstract:
In order to obtain the atomic arrangement at picometer scale without artifacts, a series of morphological processing of the high resolution atomic scale images are carried out with numerical program.The center of each atoms is fitted and quantitatively calculated in order to obtain the displacements of polarization and error analysis at picometer level. By using this program, the 90-degree domain structure in ferroelectric thin film PbTiO3 is quantitatively analyzed, and the polarization of single domain and the "head to tail" domain wall at unit cell scale are calculated and illustrated as well. In addition, this approach is further applied to quantitatively analyze the annular bright-field image, and the oxygen octahedral tilting angles in the LaCoO3 thin film can be measured.The present method can obtain microstructure features of materials at picometer scale and calculate them quantitatively.
KeyWords:
high resolution atomic scale image; image processing; quantitative characterization; PbTiO3 domain wall; LaCoO3 thin film