Presentation + Paper
25 May 2022 Resist line edge roughness mitigation at high-NA EUVL
Author Affiliations +
Abstract
The next-generation extreme ultraviolet (EUV) lithography tool, i.e., the high-numerical aperture (NA) ASML EXE system is now under preparation. As a consequence of the 0.55 NA, EXE scanners decrease the depth-of-focus (DoF) drastically, which requires much thinner photoresist thickness. However, a thinner photoresist process causes line edge roughness (LER) increase. Therefore, roughness mitigation is one of the key elements of high-NA EUV process development. We have studied how to heal LER of thin photoresist processes by illumination and mask. Rigorous simulations were conducted by Sentaurus EUV lithographyTM (S-litho EUV) software provided by Synopsys on a calibrated stochastic Inpria metal oxide resist (MOR) model to adopt the correct photoresist parameter set. Unbiased LER values were experimentally measured on half pitch (hp) 14 nm and 24 nm line and space (LS) as a function of normalized image log slope (NILS) and photoresist film thickness. 24nm hp on 0.33 NA corresponds to 14nm hp on 0.55 NA from the viewpoint of k1 factor (~0.57). NILS of these LS patterns was varied by changing illumination (dipole and annular). By comparing the experimental LER values on silicon with the simulated results, we predicted the LER performance of high-NA EUVL on 14nm hp LS pattern. In this research, we will discuss the better material condition for reduced LER of fine LS pattern at high-NA EUVL.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eisuke Ohtomi, Vicky Phillipsen, Joren Severi, Ulrich Welling, Yusuke Tanaka, and Danilo De Simone "Resist line edge roughness mitigation at high-NA EUVL", Proc. SPIE 12055, Advances in Patterning Materials and Processes XXXIX, 120550K (25 May 2022); https://doi.org/10.1117/12.2605822
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KEYWORDS
Line edge roughness

Extreme ultraviolet lithography

Calibration

Extreme ultraviolet

Stochastic processes

Scanners

Photoresist materials

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