Paper
10 May 2005 Characterization and modeling of line width roughness (LWR)
Vassilios Constantoudis, Evangelos Gogolides, Jeanette Roberts, Jason K. Stowers
Author Affiliations +
Abstract
Control of Line Width Roughness (LWR) is one of the biggest challenges of next generation lithographies. However, control necessitates accurate definition and characterization schemes. In this paper, a new definition of LWR is proposed with the benefit of being independent on the resist line length used in the measurement. The definition corresponds to the sigma value of LWR for infinite resist-line-length, but it can be measured using any finite line length. It is based on an appropriate combination of LWR and CD metrology. As the line length (gate width) decreases the LWR is being partitioned between the sigma of LWR for finite lengths and the CD variation. This partitioning is controlled by the correlation length and the roughness exponent. A protocol for LWR characterization is described using these three parameters. Furthermore, LWR modeling using methods for generating lines similar to the experimental ones is investigated. The aim is to control LWR deliberately for better input to device simulators and solving characterization problems. An algorithm based on the convolution method is shown to reproduce reliably the roughness characteristics of real lines. This algorithm needs as input a triplet of parameters similar to those defined above for LWR characterization.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vassilios Constantoudis, Evangelos Gogolides, Jeanette Roberts, and Jason K. Stowers "Characterization and modeling of line width roughness (LWR)", Proc. SPIE 5752, Metrology, Inspection, and Process Control for Microlithography XIX, (10 May 2005); https://doi.org/10.1117/12.600563
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Cited by 24 scholarly publications.
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KEYWORDS
Line edge roughness

Line width roughness

Metrology

Critical dimension metrology

Digital Light Processing

Control systems

Inspection

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