Automated measurement and analysis of sidewall roughness using three-dimensional atomic force microscopy

As semiconductor device architecture develops, from planar field-effect transistors (FET) to FinFET and gate-all-around (GAA), there is an increased need to measure 3D structure sidewalls precisely. Here, we present a 3-Dimensional Atomic Force Microscope (3D-AFM), a powerful 3D metrology tool to me...

Full description

Saved in:
Bibliographic Details
Published inApplied microscopy Vol. 52; no. 1; pp. 1 - 8
Main Authors Yoo, Su-Been, Yun, Seong-Hun, Jo, Ah-Jin, Cho, Sang-Joon, Cho, Haneol, Lee, Jun-Ho, Ahn, Byoung-Woon
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 08.03.2022
Springer Nature B.V
SpringerOpen
한국현미경학회
Subjects
Online AccessGet full text
ISSN2287-4445
2287-5123
2287-4445
DOI10.1186/s42649-022-00070-5

Cover

More Information
Summary:As semiconductor device architecture develops, from planar field-effect transistors (FET) to FinFET and gate-all-around (GAA), there is an increased need to measure 3D structure sidewalls precisely. Here, we present a 3-Dimensional Atomic Force Microscope (3D-AFM), a powerful 3D metrology tool to measure the sidewall roughness (SWR) of vertical and undercut structures. First, we measured three different dies repeatedly to calculate reproducibility in die level. Reproducible results were derived with a relative standard deviation under 2%. Second, we measured 13 different dies, including the center and edge of the wafer, to analyze SWR distribution in wafer level and reliable results were measured. All analysis was performed using a novel algorithm, including auto flattening, sidewall detection, and SWR calculation. In addition, SWR automatic analysis software was implemented to reduce analysis time and to provide standard analysis. The results suggest that our 3D-AFM, based on the tilted Z scanner, will enable an advanced methodology for automated 3D measurement and analysis.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
https://appmicro.springeropen.com/articles/10.1186/s42649-022-00070-5#Ack1
ISSN:2287-4445
2287-5123
2287-4445
DOI:10.1186/s42649-022-00070-5