Comparative Study of Line Width Roughness (LWR) in Next-Generation Lithography (NGL) Processes

被引:9
作者
Patel, Kedar [1 ,2 ]
Wallow, Thomas [3 ]
Levinson, Harry J. [3 ]
Spanos, Costas J. [2 ]
机构
[1] SanDisk, 1000 SanDisk Dr, Milpitas, CA 95035 USA
[2] Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA
[3] GLOBALFOUNDRIES, Sunnyvale, CA 94085 USA
来源
OPTICAL MICROLITHOGRAPHY XXIII | 2010年 / 7640卷
关键词
LER; LWR; line edge roughness; line width roughness next-generation lithography; NGL; EDGE ROUGHNESS; MODEL; QUANTIFICATION; PHOTORESISTS; PATTERNS; LER;
D O I
10.1117/12.848183
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In this paper, we conduct a comprehensive comparative study of next-generation lithography (NGL) processes in terms of their line width roughness (LWR) performance. We investigate mainstream lithography options such as double patterning lithography (DPL), self-aligned double patterning (SADP), and extreme ultra-violet (EUV), as well as alternatives such as directed self-assembly (DSA) and nano-imprint lithography (NIL). Given the distinctly different processing steps, LWR arises from different sources for these patterning methods, and a unified, universally applicable set of metrics must be chosen for useful comparisons. For each NGL, we evaluate the LWR performance in terms of three descriptors, namely, the variation in RMS amplitude (sigma), correlation length (xi) and the roughness exponent (alpha). The correlation length (which indicates the distance along the edge beyond which any two linewidth measurements can be considered independent) for NGL processes is found to range from 8 to 24 nm. It has been observed that LWR decreases when transferred from resist into the final substrate and all NGL technology options produce < 5% final LWR. We also compare our results with 2008 ITRS roadmap. Additionally, for the first time, spatial frequency transfer characteristics for DSA and SADP are being reported. Based on our study, the roughness exponent (which corresponds to local smoothness) is found to range from similar to 0.75-0.98; it is close to being ideal (alpha = 1) for DSA. Lastly using EUV as an example, we show the importance of process optimization as these technologies mature.
引用
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页数:13
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