Advanced process characterization of a 10nm Metal 1 Logic layer using light source modulation and monitoring

As ArF immersion lithography continues to be extended by adopting multi-patterning techniques, imaging requirements continue to become more stringent [1-3]. For multiple patterning based logic devices, the optimal printability is not only driven by the optimization of the optical proximity correction (OPC), but also by complex process factors, such as resist, exposure tool, and mask-related error performance levels. In addition the light source plays a crucial role; it has been widely demonstrated [4-8] how changes in the E95 bandwidth can significantly lead to changes in on wafer patterning due image contrast changes. Cymer has developed novel computational and experimental approaches to enable process characterization studies [9-11]. Using these techniques, simulations were used to assess how E95 bandwidth changes can erode the CDU budget on ≤ 20 nm logic features. Using the results of these simulations, experimental conditions were defined to study the on wafer impact of light source performance on an imec N10 Logic-type test vehicle via six different Metal 1 Logic features. The imaging metrics used to track patterning response are process window (PW), line width roughness (LWR), and local critical dimension uniformity (LCDU).

[1]  Michiel Kupers,et al.  Laser bandwidth effect on overlay budget and imaging for the 45 nm and 32nm technology nodes with immersion lithography , 2010, Advanced Lithography.

[2]  Jan Baselmans,et al.  Optimum ArFi laser bandwidth for 10nm node logic imaging performance , 2015, Advanced Lithography.

[3]  Sang-Ho Lee,et al.  Analysis of the effect of laser bandwidth on imaging of memory patterns , 2008, Lithography Asia.

[4]  Joost Bekaert,et al.  Improving on-wafer CD correlation analysis using advanced diagnostics and across-wafer light-source monitoring , 2014, Advanced Lithography.

[5]  Will Conley,et al.  Impact of bandwidth on contrast sensitive structures for low k1 lithography , 2015, Advanced Lithography.

[6]  Lieve Van Look,et al.  Lithography imaging control by enhanced monitoring of light source performance , 2013, Advanced Lithography.

[7]  Hiroyuki Shindo,et al.  Contour-based metrology for complex 2D shaped patterns printed by multiple-patterning process , 2014, Advanced Lithography.

[8]  Takayuki Funatsu,et al.  Immersion scanners enabling 10nm half-pitch production and beyond , 2014, Advanced Lithography.

[9]  John Lin,et al.  Effects of laser bandwidth on iso-dense bias and line end shortening at sub-micron process nodes , 2007, SPIE Advanced Lithography.

[10]  Hiroyuki Shindo,et al.  Measurement technology to quantify 2D pattern shape in sub-2x nm advanced lithography , 2013, Advanced Lithography.

[11]  P. Bisschop,et al.  Impact of finite laser bandwidth on the critical dimension of L/S structures , 2008 .