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Automatic detection of defect positions including interface dislocations and strain measurement in Ge/Si heterostructure from moiré phase processing of TEM image.

Authors :
Wang, Qinghua
Ri, Shien
Xia, Peng
Liu, Zhanwei
Source :
Optics & Lasers in Engineering. Jun2020, Vol. 129, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• An automatic detection method of defects and interface dislocations from a TEM image was developed. • A strain distribution measurement method for arbitrary crystal structures was developed. • The dislocations, interface and strain of a Ge/Si atomic structure were investigated and verified. An automatic detection method of crystal defect positions including interface dislocations and a strain imaging method for an arbitrarily oriented atomic array were developed based on the sampling moiré technique. An automatic defect location detection algorithm was proposed by defining a defect detection coefficient. As an application, a transmission electron microscope (TEM) image of a Ge/Si crystal structure was investigated, and the atomic arrays including defects were in-situ amplified in a large field of view. The locations of defects and interface dislocations were automatically detected. The strain distribution of this structure was presented and the complex interface curve was plotted. All the positions and atom distribution trends of common dislocations in Ge and Si arrays, and the Ge/Si interface dislocations were verified successfully from the enlarged TEM images. These dislocations were caused by the mismatch between n -column and (n −1) or (n +1)-column homogeneous or heterogeneous atoms, where n is an integer greater than two. This study provides a useful way for characterizing crystal defects and strain distribution in semiconductors and metals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01438166
Volume :
129
Database :
Academic Search Index
Journal :
Optics & Lasers in Engineering
Publication Type :
Academic Journal
Accession number :
142912741
Full Text :
https://doi.org/10.1016/j.optlaseng.2020.106077