37th European Mask and Lithography Conference 2022
DOI: 10.1117/12.2640098
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Optimizing EUV imaging metrics as a function of absorber thickness and illumination source: simulation case study of Ta-Co alloy

Abstract: The imaging performance of a mask in EUV lithography is governed by the optical properties of the absorber material, namely the refractive index n and extinction coefficient k, and by its thickness. The imaging metrics viz. Normalized Intensity Log Slope (NILS), Telecentricity Error (TCE) and Best Focus Variation (BFV) through pitch, exhibit a tradeoff. In addition, the choice of illumination has a significant influence on these imaging metrics. Most of the previous studies have focused on either reflectivity … Show more

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Cited by 2 publications
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“…The results of our preliminary simulations also support the idea of improving EUV imaging metrics as a function of optical properties and thickness of the absorber with the inclusion of an illumination source. A separate paper will discuss the detailed reasoning and methods employed for determining the optimized absorber thickness 38 Telecentric σ for LnS=λ2NAP,Telecentric σ for CH=λ2NAP,where λ denotes the wavelength of the illumination, NA is the numerical aperture, and P is the pattern pitch.…”
Section: Methodsmentioning
confidence: 99%
“…The results of our preliminary simulations also support the idea of improving EUV imaging metrics as a function of optical properties and thickness of the absorber with the inclusion of an illumination source. A separate paper will discuss the detailed reasoning and methods employed for determining the optimized absorber thickness 38 Telecentric σ for LnS=λ2NAP,Telecentric σ for CH=λ2NAP,where λ denotes the wavelength of the illumination, NA is the numerical aperture, and P is the pattern pitch.…”
Section: Methodsmentioning
confidence: 99%
“…To understand the preferred EUV n & k regions for mask absorber in terms of best focus variation and MEEF through pitch, we plot for the selected illumination source (C) the multiple graphs through absorber thickness as shown in Figure 12. Typically, the absorber thickness optimization methodology is depicted by best trade-off between imaging properties, NILS, dose which indicates throughput, telecentricity error and best focus shift 19 . In this paper, the desirable thickness region (purple area in Fig.…”
Section: Impact Of Mask Absorber Optical Properties At 033-na Euv Ima...mentioning
confidence: 99%