Gian Francesco Lorusso

Flare in extreme ultraviolet lithography: metrology, out-of-band radiation, fractal point-spread function, and flare map calibration

The critical role of flare in extreme ultraviolet (EUV) lithography is well known. In this work, the implementation of a robust flare metrology is discussed, and the proposed approach is qualified both in terms of precision and accuracy. The flare measurements are compared to full-chip simulations using a simplified single fractal point-spread function (PSF), and the parameters of the analytical PSF are optimized by comparing the simulation output to the experimental results. After flare map calibration, the matching of simulation and experiment in the flare range from 4 to 12% is quite good, clearly indicating an offset of about 3%. The origin of this offset is attributed to the presence of DUV light. An experimental estimate of the DUV component is found in good agreement with the predicted value.

Spectral analysis of line width roughness and its application to immersion lithography

Various approaches can be used to quantify line width rough- ness LWR. One of the most commonly used estimators of LWR is standard deviation . However, a substantial amount of information is ignored if only is measured. We use an automated approach to inves- tigate LWR, where standard deviation, correlation length, and power spectrum are measured online on critical dimension scanning electron microscopes. This methodology is used to monitor LWR, investigate the effect of LWR on critical dimension precision, and to benchmark new resists for immersion lithography. Our results indicate that online LWR metrology is a critical tool in a variety of applications, including but not restricted to process control.

Study of CD variation caused by the black border effect and out-of-band radiation in extreme ultraviolet lithography

Abstract. Although extreme ultraviolet lithography (EUVL) remains a promising candidate for semiconductor device manufacturing of the 1× nm half pitch node and beyond, many technological burdens have to be overcome. The “field edge effect” in EUVL is one of them. The image border region of an EUV mask, also known as the “black border” (BB), reflects a few percent of the incident EUV light, resulting in a leakage of light into neighboring exposure fields, especially at the corner of the field where three adjacent exposures take place. This effect significantly impacts on critical dimension (CD) uniformity (CDU) across the exposure field. To avoid this phenomenon, a light-shielding border is introduced by etching away the entire absorber and multilayer at the image border region of the EUV mask. We present a method of modeling the field edge effect (also called the BB effect) by using rigorous lithography simulation with a calibrated resist model. An additional “flare level” at the field edge is introduced on top of the exposure tool flare map to account for the BB effect. The parameters in this model include the reflectivity and the width of the BB, which are mainly determining the leakage of EUV light and its influence range, respectively. Another parameter is the transition width which represents the half shadow effect of the reticle masking blades. By setting the corresponding parameters, the simulation results match well the experimental results obtained at the IMEC’s NXE:3100 EUV exposure tool. Moreover, these results indicate that the out-of-band (OoB) radiation also contributes to the CDU. Using simulation, we can also determine the OoB effect rigorously using the methodology of an “effective mask blank.” The study demonstrates that the impact of BB and OoB effects on CDU can be well predicted by simulations.

Design correction in extreme ultraviolet lithography

Extreme ultraviolet (EUV) lithography is currently the most promising technology for advanced manufacturing nodes. This study aims to assess in detail the quality of a full chip optical correction for a EUV design, as well to discuss the available approaches to compensate for EUV-specific effects. Extensive data sets have been collected on the ASML EUV Alpha-Demo Tool using the latest Interuniversity Microelectronics Center baseline resist Shin-Etsu SEVR59. In total ~1300 critical dimension (CD) measurements at wafer level and 700 at mask level were used as input for model calibration and validation. The smallest feature size in the data set was 32 nm. Both one-dimensional and two-dimensional structures through CD and pitch were measured. The reticle used in this calibration exercise allowed one to modulate flare by varying tiling densities. The shadowing effect was modeled by means of a single bias correction throughout the design. Horizontal and vertical features of different types through pitch and CD were used to calibrate the shadowing correction. The model calibration yielded an root-mean square of ~1 nm, which was observed to improve by including reticle CD data. An EUV mask fully corrected for optical proximity correction, flare and shadowing was fabricated and qualified, demonstrating the effectiveness of the implemented corrections.