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Material interface detection based on secondary electron images for focused ion beam machining.
Joe, Hang-Eun; Lee, Won-Sup; Jun, Martin B G; Park, No-Cheol; Min, Byung-Kwon.
Afiliação
  • Joe HE; Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
  • Lee WS; Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
  • Jun MBG; School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Park NC; Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
  • Min BK; Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea. Electronic address: bkmin@yonsei.ac.kr.
Ultramicroscopy ; 184(Pt B): 37-43, 2018 Jan.
Article em En | MEDLINE | ID: mdl-29096392
ABSTRACT
A method for interface detection is proposed for focused ion beam (FIB) processes of multilayered targets. As multilayers have emerged as promising structures for nanodevices, the FIB machining of multilayers has become a challenging issue. We proposed material interface detection by monitoring secondary electron (SE) images captured during the FIB process. The average of the gray-levels and the skewness coefficient of gray-level histograms of the SE images were evaluated to recognize endpoints for the FIB processes. The FIB process control with the proposed method was demonstrated by fabricating the nanostructures on the multilayered target without thickness information. It was also demonstrated on a curved surface. Grooves with a desired depth into the target and an aperture as an opening window were precisely fabricated by the FIB process control. The proposed strategy of the FIB process can be used for complex substrates such as curved or flexible targets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article