Abstract
Imaging high-resolution subsurface defects nondestructively in MoSi multilayer (ML) blanks used in extreme ultraviolet lithography is a challenge and no known metrology tools are available to identify such defects in a nondestructive way. The understanding of their growth mechanism during ML deposition necessitates the monitoring of these defects, which can then lead to fabricating defect-free ML blanks. Here, we report for the first time, a unique and novel application of scanning near-field ultrasound holography (SNFUH) in nondestructive imaging of high-resolution e-beam patterned lines and bumps buried under Mo/Si ML film stacks used for ultraviolet lithography. Our results indicate the successful identification of buried defects under ML blanks using SNFUH.
Original language | English (US) |
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Article number | 5491187 |
Pages (from-to) | 671-674 |
Number of pages | 4 |
Journal | IEEE Transactions on Nanotechnology |
Volume | 9 |
Issue number | 6 |
DOIs | |
State | Published - Nov 2010 |
Funding
Manuscript received October 26, 2009; revised January 29, 2010, March 11, 2010, and April 12, 2010; accepted May 20, 2010. Date of publication June 21, 2010; date of current version November 10, 2010. This work was supported by gift from Intel Corporation and by National Science Foundation (NSF)-Major Research Instrumentation Program (MRI), NSF-Instrument Development for Biological Research (IDBR), and Semiconductor Research Corporation (SRC) programs. This work was carried out at the Nanoscale Integrated Fabrication, Testing and Instrumentation (NIFTI) facility of Atomic-and Nanoscale Characterization Experimental Center (NUANCE) at Northwestern University, which is supported by NSF-NSEC (Nano Scale Science and Engineering Center), NSF-Materials Research Science and Engineering Centers (MRSEC), Keck Foundation, the State of Illinois, and Northwestern University. The review of this paper was arranged by Associate Editor A. A. Balandin.
Keywords
- Defect detection
- metrology
- near field
- ultrasonics
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering