Paper
28 June 2005 Precision process calibration and CD predictions for low-k1 lithography
Ting Chen, Sangbong Park, Gabriel Berger, Tamer H. Coskun, Joep de Vocht, Fung Chen, Linda Yu, Stephen Hsu, Doug van den Broeke, Robert Socha, Jungchul Park, Keith Gronlund, Todd Davis, Vince Plachecki, Tom Harris, Steve Hansen, Chuck Lambson
Author Affiliations +
Abstract
Leading resist calibration for sub-0.3 k1 lithography demands accuracy <2nm for CD through pitch. An accurately calibrated resist process is the prerequisite for establishing production-worthy manufacturing under extreme low k1. From an integrated imaging point of view, the following key components must be simultaneously considered during the calibration - high numerical aperture (NA>0.8) imaging characteristics, customized illuminations (measured vs. modeled pupil profiles), resolution enhancement technology (RET) mask with OPC, reticle metrology, and resist thin film substrate. For imaging at NA approaching unity, polarized illumination can impact significantly the contrast formation in the resist film stack, and therefore it is an important factor to consider in the CD-based resist calibration. For aggressive DRAM memory core designs at k1<0.3, pattern-specific illumination optimization has proven to be critical for achieving the required imaging performance. Various optimization techniques from source profile optimization with fixed mask design to the combined source and mask optimization have been considered for customer designs and available imaging capabilities. For successful low-k1 process development, verification of the optimization results can only be made with a sufficiently tunable resist model that can predicate the wafer printing accurately under various optimized process settings. We have developed, for resist patterning under aggressive low-k1 conditions, a novel 3D diffusion model equipped with double-Gaussian convolution in each dimension. Resist calibration with the new diffusion model has demonstrated a fitness and CD predication accuracy that rival or outperform the traditional 3D physical resist models. In this work, we describe our empirical approach to achieving the nm-scale precision for advanced lithography process calibrations, using either measured 1D CD through-pitch or 2D memory core patterns. We show that for ArF imaging, the current resist development and diffusion modeling can readily achieve ~1-2nm max CD errors for common 1D through-pitch and aggressive 2D memory core resist patterns. Sensitivities of the calibrated models to various process parameters are analyzed, including the comparison between the measured and modeled (Gaussian or GRAIL) pupil profiles. We also report our preliminary calibration results under selected polarized illumination conditions.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ting Chen, Sangbong Park, Gabriel Berger, Tamer H. Coskun, Joep de Vocht, Fung Chen, Linda Yu, Stephen Hsu, Doug van den Broeke, Robert Socha, Jungchul Park, Keith Gronlund, Todd Davis, Vince Plachecki, Tom Harris, Steve Hansen, and Chuck Lambson "Precision process calibration and CD predictions for low-k1 lithography", Proc. SPIE 5853, Photomask and Next-Generation Lithography Mask Technology XII, (28 June 2005); https://doi.org/10.1117/12.617218
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KEYWORDS
Calibration

3D modeling

Process modeling

Data modeling

Diffusion

Photoresist processing

Lithography

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