Comparative study of line roughness metrics of chemically amplified and inorganic resists for EUV

We present a comprehensive study of the roughness metrics of different resists. Dense line/space (L/S) images of polymethyl methacrylate (PMMA), hydrogen silsesquioxane (HSQ), different chemically amplified resists (CARs), and metal oxide based resists have been patterned by extreme ultraviolet interference lithography (EUV-IL). The three line width roughness metrics: r.m.s. value σLWR, correlation length ξ and roughness exponent α, were measured by metrological analysis of top down SEM images and compared for the different resists imaged here. It was found, that all metrics are required to fully describe the roughness of each resist. Our measurements indicate that few of the state-of-the- art resists tested here can meet the International Technology Roadmap for Semiconductors (ITRS) requirements for σLWR. The correlation length ξ has been found to be considerably higher in polymer-based materials in comparison to non-polymers. The roughness exponent α, interpreted using the concept of fractal geometry, is mainly affected by acid diffusion in CARs where it produces line edges with a higher complexity than in non-CAR resists. These results indicate that different resists platforms show very different LWR resist metrics and roughness is not only manifested in the σLWR but in all parameters. Therefore, all roughness metrics should be taken into account in the performance comparison of the resist, since they can have a substantial impact on the device performance.

[1]  Takenao Yoshizaki,et al.  Mean-Square Radius of Gyration of Isotactic Oligo- and Poly(methyl methacrylate)s in Dilute Solution , 1994 .

[2]  Shigeru Moriya,et al.  Edge roughness evaluation method for quantifying at-size beam blur in electron-beam lithography , 2000, Advanced Lithography.

[3]  Yasin Ekinci,et al.  SnOx high-efficiency EUV interference lithography gratings towards the ultimate resolution in photolithography , 2016 .

[4]  Evangelos Gogolides,et al.  Evolution of resist roughness during development: stochastic simulation and dynamic scaling analysis , 2010, Advanced Lithography.

[5]  George P. Patsis,et al.  Integrated simulation of line-edge roughness (LER) effects on sub-65nm transistor operation: From lithography simulation, to LER metrology, to device operation , 2006, SPIE Advanced Lithography.

[6]  A. Barabasi,et al.  Fractal concepts in surface growth , 1995 .

[7]  P. Gupta,et al.  Device- and Circuit-Level Variability Caused by Line Edge Roughness for Sub-32-nm FinFET Technologies , 2012, IEEE Transactions on Electron Devices.

[8]  A. Barabasi,et al.  Fractal Concepts in Surface Growth: Frontmatter , 1995 .

[9]  Angeliki Tserepi,et al.  Quantification of line-edge roughness of photoresists. II. Scaling and fractal analysis and the best roughness descriptors , 2003 .

[10]  M. O. Lai,et al.  Image-Based Fractal Description of Microstructures , 2003 .

[11]  Gian Francesco Lorusso,et al.  Line width roughness accuracy analysis during pattern transfer in self-aligned quadruple patterning process , 2016, SPIE Advanced Lithography.